U.S. patent application number 16/005659 was filed with the patent office on 2019-02-14 for methods and kits for assessing neurological and ophthalmic function and localizing neurological lesions.
This patent application is currently assigned to NEW YORK UNIVERSITY. The applicant listed for this patent is THE UNITED STATES GOVERNMENT AS REPRESENTED BY THE DEPARTMENT OF VETERANS AFFAIRS, NEW YORK UNIVERSITY, THE UNITED STATES GOVERNMENT AS REPRESENTED BY THE DEPARTMENT OF VETERANS AFFAIRS. Invention is credited to Uzma Samadani.
Application Number | 20190046124 16/005659 |
Document ID | / |
Family ID | 52105176 |
Filed Date | 2019-02-14 |
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United States Patent
Application |
20190046124 |
Kind Code |
A1 |
Samadani; Uzma |
February 14, 2019 |
METHODS AND KITS FOR ASSESSING NEUROLOGICAL AND OPHTHALMIC FUNCTION
AND LOCALIZING NEUROLOGICAL LESIONS
Abstract
The invention provides methods and kits for detecting,
screening, quantifying or localizing the etiology for reduced or
impaired cranial nerve function or conduction; localizing a central
nervous system lesion; detecting, diagnosing or screening for
increased intracranial pressure, pressure or disruption of central
nervous system physiology as seen with concussion; or detecting,
diagnosing, monitoring progression of or screening for a disease or
condition featuring increased intracranial pressure or concussion
by tracking eye movement of the subject. The invention also
provides methods and kits useful for detecting, screening for or
quantitating disconjugate gaze or strabismus, useful for diagnosing
a disease characterized by disconjugate gaze or strabismus in a
subject, useful for detecting, monitoring progression of or
screening for a disease or condition characterized by disconjugate
gaze or strabismus in a subject or useful for quantitating the
extent of disconjugate gaze or strabismus. Further, the invention
provides methods for assessing or quantifying structural and
non-structural traumatic brain injury or diagnosing a disease
characterized by or featuring structural and non-structural
traumatic brain injury.
Inventors: |
Samadani; Uzma; (New York,
NY) |
|
Applicant: |
Name |
City |
State |
Country |
Type |
NEW YORK UNIVERSITY
THE UNITED STATES GOVERNMENT AS REPRESENTED BY THE DEPARTMENT OF
VETERANS AFFAIRS |
New York
Washington |
NY
DC |
US
US |
|
|
Assignee: |
NEW YORK UNIVERSITY
New York
NY
THE UNITED STATES GOVERNMENT AS REPRESENTED BY THE DEPARTMENT OF
VETERANS AFFAIRS
Washington
DC
|
Family ID: |
52105176 |
Appl. No.: |
16/005659 |
Filed: |
June 11, 2018 |
Related U.S. Patent Documents
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Application
Number |
Filing Date |
Patent Number |
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14392310 |
Dec 17, 2015 |
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PCT/US2014/042645 |
Jun 17, 2014 |
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16005659 |
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61929238 |
Jan 20, 2014 |
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61881014 |
Sep 23, 2013 |
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61835927 |
Jun 17, 2013 |
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Current U.S.
Class: |
1/1 |
Current CPC
Class: |
A61B 3/0025 20130101;
A61B 5/7278 20130101; A61B 3/0041 20130101; A61B 3/085 20130101;
A61B 5/4064 20130101; A61B 5/031 20130101; A61B 3/113 20130101 |
International
Class: |
A61B 5/00 20060101
A61B005/00; A61B 5/03 20060101 A61B005/03; A61B 3/00 20060101
A61B003/00; A61B 3/08 20060101 A61B003/08; A61B 3/113 20060101
A61B003/113 |
Claims
1-65. (canceled)
66. A method for detecting, diagnosing or screening for concussion
in a subject comprising: a) Tracking eye movement of at least one
eye of the subject; b) Analyzing eye movement of at least one eye
of the subject; c) Comparing eye movement of at least one eye of
the subject to a normal or mean eye movement; and, optionally d)
Calculating a standard deviation or p value for eye movement of at
least one eye of the subject as compared to the normal or mean eye
movement.
67. A method according to claim 66 wherein eye movement of both
eyes of the subject are tracked and analyzed.
68. A method according to claim 66 wherein both x and y coordinates
of eye position for one or both eyes of a subject are
collected.
69. A method according to claim 66 wherein the eye movement is
tracked for at least about 100 or more seconds.
70. A method according to claim 66 wherein the comparing eye
movement of at least one eye of the subject to a normal or mean eye
movement comprises comparing eye movement of at least one eye of
the subject to the eye movement of the other eye of the subject or
comparing eye movement of at least one eye of the subject to the
eye movement of an eye of one or more other subjects or
controls.
71. A method according to claim 66 wherein the comparing eye
movement of at least one eye of the subject to a normal or mean eye
movement comprises comparing the eye movement of both eyes of the
subject to the eye movement of one or both eyes of one or more
other subjects or controls.
72. A method according to claim 66 wherein the tracking, analyzing
and comparing comprises collecting raw x and y cartesian
coordinates of pupil position, normalizing the raw x and y
cartesian coordinates, and sorting the data by eye.
73. A method according to claim 66 wherein the analyzing and
comparing comprises calculating one or more individual metric
selected from the group consisting of L . varYtop = Var ( y ~ 1 ,
average k = 1 : 5 , 1 ) ( 13 ) R . varYtop = Var ( y ~ 2 , average
k = 1 : 5 , 1 ) ( 14 ) L . varXrit = Var ( x ~ 1 , average k = 1 :
5 , 2 ) ( 15 ) R . varXrit = Var ( x ~ 2 , average k = 1 : 5 , 2 )
( 16 ) L . varYbot = Var ( y ~ 1 , average k = 1 : 5 , 3 ) ( 17 ) R
. varYbot = Var ( y ~ 2 , average k = 1 : 5 , 3 ) ( 18 ) L .
varXlef = Var ( x ~ 1 , average k = 1 : 5 , 4 ) ( 19 ) R . varXlef
= Var ( x ~ 2 , average k = 1 : 5 , 4 ) ( 20 ) L . varTotal =
Average ( Var ( x ~ 1 , average k = 1 : 5 ) + Var ( y ~ 1 , average
k = 1 : 5 ) ) ( 21 ) R . varTotal = Average ( Var ( x ~ 2 , average
k = 1 : 5 ) + Var ( y ~ 2 , average k = 1 : 5 ) ) ( 22 ) L .
SkewTop = Skew ( y ~ 1 , average k = 1 : 5 , 1 ) ( 27 ) R . SkewTop
= Skew ( y ~ 2 , average k = 1 : 5 , 1 ) ( 28 ) L . SkewRit = Skew
( x ~ 1 , average k = 1 : 5 , 2 ) ( 29 ) R . SkewRit = Skew ( x ~ 2
, average k = 1 : 5 , 2 ) ( 30 ) L . SkewBot = Skew ( y ~ 1 ,
average k = 1 : 5 , 3 ) ( 31 ) R . Sk L . Sk R . Sk SkewNorm ( x ~
j , k , l ) = Skew ( x ~ j , k , l ) .sigma. x ~ j , k , l , ( 35 )
SkewNorm ( y ~ j , k , l ) = Skew ( y ~ j , k , l ) .sigma. y ~ j ,
k , l , ( 36 ) L . SkewTopNorm = SkewNorm ( y ~ 1 , average k = 1 :
5 , 1 ) ( 37 ) R . SkewTopNorm = SkewNorm ( y ~ 2 , average k = 1 :
5 , 1 ) ( 38 ) L . SkewRitNorm = SkewNorm ( x ~ 1 , average k = 1 :
5 , 2 ) ( 39 ) R . SkewRitNorm = SkewNorm ( x ~ 2 , average k = 1 :
5 , 2 ) ( 40 ) BoxHeight j , k L . SkewBotNorm = SkewNorm ( y ~ 1 ,
average k = 1 : 5 , 3 ) ( 41 ) R . SkewBotNorm = SkewNorm ( y ~ 2 ,
average k = 1 : 5 , 3 ) ( 42 ) L . SkewLefNorm = SkewNorm ( x ~ 1 ,
average k = 1 : 5 , 4 ) ( 43 ) R . SkewLefNorm = SkewNorm ( x ~ 2 ,
average k = 1 : 5 , 4 ) ( 44 ) BoxWidth j , k = x ~ j , k , 2 - x ~
j , k , 4 ( 46 ) AspectRatio j , k = BoxHeight j , k BoxWidth j , k
( 47 ) BoxArea j , k = BoxHeight j , k .times. BoxWidth j , k ( 48
) Conj varXtop = .SIGMA. ( x ~ 1 ) 2 - 0 .SIGMA. x ~ 1 , ( 57 )
Conj varXrit = .SIGMA. ( x ~ 2 ) 2 - 0 .SIGMA. x ~ 2 , ( 58 ) Conj
varXbot = .SIGMA. ( x ~ 3 ) 2 - 0 .SIGMA. x ~ 3 , ( 59 ) Conj
varXlef = .SIGMA. ( x ~ 4 ) 2 - 0 .SIGMA. x ~ 4 , ( 60 ) Conj
varYtop = .SIGMA. ( y ~ 1 ) 2 - 0 .SIGMA. y ~ 1 , ( 61 ) Conj
varYrit = .SIGMA. ( y ~ 2 ) 2 - 0 .SIGMA. y ~ 2 , ( 62 ) Conj
varYbot = .SIGMA. ( y ~ 3 ) 2 - 0 .SIGMA. y ~ 3 , ( 63 ) Conj
varYrit = .SIGMA. ( y ~ 4 ) 2 - 0 .SIGMA. y ~ 4 , ( 64 ) Conj
CorrXYtop = .SIGMA. x ~ 1 y ~ 1 .SIGMA. x ~ 1 - 1 , ( 65 ) Conj
CorrXYrit = .SIGMA. x ~ 2 y ~ 2 .SIGMA. x ~ 2 - 1 , ( 66 ) Conj
CorrXYbot = .SIGMA. x ~ 3 y ~ 3 .SIGMA. x ~ 3 - 1 , ( 67 ) Conj
CorrXYlef = .SIGMA. x ~ 4 y ~ 4 .SIGMA. x ~ 4 - 1 ( 68 )
##EQU00025##
74. A method according to claim 66 wherein the analyzing and
comparing comprises calculating one or more individual metric
selected from the group consisting of L height, L width, L area, L
varXrit, L varXlef, L varTotal, R height, R width, R area, R
varYtop, R varXrit, R varXlef, R varTotal, Conj varX, Conj varXrit,
Conj varXbot, Conj varXlef and Conj varYlef.
Description
CROSS REFERENCE TO RELATED APPLICATIONS
[0001] This application is a continuation of U.S. application Ser.
No. 14/392,310 filed Dec. 17, 2015 which is a U.S. National Phase
application under 35 USC .sctn. 371 of International Application
No. PCT/US2014/042645 filed Jun. 17, 2014, which claims priority to
U.S. Provisional Application No. 61/929,238 filed Jan. 20, 2014,
U.S. Provisional Application No. 61/881,014 filed Sep. 23, 2013 and
U.S. Provisional Application No. 61/835,927 filed Jun. 17, 2013.
The entire contents of these applications are hereby incorporated
herein by reference.
FIELD OF THE INVENTION
[0002] The present invention relates to methods and kits for
assessing physiologic function of the cranial nerves II, III, IV
and VI, screening for, diagnosing, and quantitating the extent of
elevated intracranial pressure, transtentorial herniation,
concussion, normal pressure hydrocephalus, posterior fossa mass
effect, optic neuropathy, neurodegenerative diseases, and
diagnosing, localizing and monitoring progression of intracranial
lesions and disease processes. The present invention also relates
to methods and kits for assessing or quantitating conjugacy or
disconjugacy of gaze or strabismus and for screening for,
diagnosing, and assessing neurological diseases characterized by or
featuring the same. In addition, the present invention relates to
methods and kits for assessing or quantitating structural and
non-structural traumatic brain injury and for screening for,
diagnosing, and assessing the same.
BACKGROUND OF THE INVENTION
Eye Movement Tracking
[0003] Automated eye movement tracking has been used for marketing
and advertising research, the development of assistive devices for
immobile individuals, and for video games. Spatial calibration of
the device requires the subject to have relatively intact ocular
motility that implies function of cranial nerves II (optic), III
(oculomotor), IV (trochlear) and VI (abducens) and their associated
nuclei as well as sufficient cerebral function to enable cognition
and volition for calibration. Calibrated eye movement tracking has
been utilized to detect cognitive impairment secondary to axonal
shearing after mild traumatic brain injury (Lee et al., Brain
research. 2011; 1399:59-65; Contreras et al., Brain Research 2011;
1398:55-63 and Maruta et al., The Journal of Head Trauma
Rehabilitation 2010; 25(4):293-305).
[0004] Others have successfully demonstrated the clinical
applications of eye movement data (Lee et al., Brain Research.
2011; 1399:59-65; Contreras et al., Brain Research 2011;
1398:55-63; Maruta et al., The Journal of Head Trauma
Rehabilitation 2010; 25(4):293-305). Trojano et al., J Neurol 2012;
(published online; ahead of print) recently described uncalibrated
eye movement measurements in a population of minimally conscious
and persistently vegetative patients. They report data from 11
healthy control subjects evaluating chronic disorders of
consciousness, not acute changes in intracranial pressure. They
sample eye movements at 60 Hz rather than 500 Hz, effectively
reducing the power of their data 100-fold, and they report
differences in on-target and off-target fixations between the
groups without spatially calibrated data. Moreover, they use static
stimuli moving in a quasi-periodic way.
Elevated Intracranial Pressure
[0005] If untreated, acute elevations in intracranial pressure
(ICP) due to hydrocephalus, brain injury, stroke, or mass lesions
can result in permanent neurologic impairment or death.
Hydrocephalus, the most common pediatric neurosurgical condition in
the world, has been well studied as a model for understanding the
impact of elevated ICP. The visual disturbances and diplopia
associated with hydrocephalus were first described by Hippocrates
in approximately 400 B.C. (Aronyk, Neurosurg Clin N Am. 1993;
4(4):599-609). Papilledema, or swelling of the optic disc, and its
association with elevated ICP was described by Albrecht von Graefe
in 1860 (Pearce, European neurology 2009; 61(4):244-249). In the
post-radiographic era, acute and chronic pathology of the optic
nerve and disc (cranial nerve II), and of ocular motility (cranial
nerves III, IV and VI) are well characterized in hydrocephalic
children (Dennis et al., Arch Neurol. October 1981; 38(10):607-615;
Zeiner et al., Childs Nerv Syst. 1985; 1(2):115-122 and Altintas et
al., Graefe's archive for clinical and experimental
ophthalmology=Albrecht von Graefes Archiv fur klinische and
experimentelle Ophthalmologic. 2005; 243(12):1213-1217). Visual
fields may be impaired in treated hydrocephalus (Zeiner et al.,
Childs Nerv Syst. 1985; 1(2):115-122), and there is increased
latency in light-flash evoked responses in acutely hydrocephalic
children relative to their post treatment state (Sjostrom et al.,
Childs Nerv Syst. 1995; 11(7):381-387). Clinically apparent
disruption of ocular motility may precede computed tomography (CT)
findings in some acute hydrocephalics (Tzekov et al., Pediatric
Neurosurgery 1991; 17(6):317-320 and Chou et al., Neurosurgery
Clinics of North America 1999; 10(4):587-608).
[0006] Several potential mechanisms may contribute to cranial nerve
dysfunction due to hydrocephalus. The optic nerve (II) is most
frequently analyzed because it can be visualized directly with
ophthalmoscopy, and indirectly with ultrasound. Edema of the optic
nerve appears earlier than ocular fundus changes, and resolves
after treatment of elevated ICP (Gangemi et al., Neurochirurgia
1987; 30(2):53-55). Fluctuating elevated neural pressure leads to
impaired axonal transport along the optic nerve after as little as
30 minutes in a rabbit model (Balaratnasingam et al., Brain
Research 2011; 1417:67-76). Axoplasmic flow stasis and
intraneuronal ischemia may occur in the optic nerve exposed to
chronically elevated ICP (Lee et al., Current Neurology and
Neuroscience Reports. Feb. 23, 2012).
[0007] At present, the diagnosis of elevated intracranial pressure
relies on history, physical exam, radiographic imaging, and
possibly direct invasive assessment of the subarachnoid space or
structures contiguous with it via cannulated needle tap of a shunt
or monitoring device placement. Chemical dilatation of the pupil to
assess for papilledema may be unpleasant for the examinee, relies
on the experience of the examiner and obfuscates further
examination of the pupillary reflex. Papilledema is not always a
sensitive marker for hydrocephalus, and in one study was present in
as few as 14% of patients with a shunt malfunction (Nazir et al., J
Aapos 2009; 13(1):63-66) consistent with the relatively short
intracranial course of II relative to cranial nerves III and IV.
Compartmentalization of subarachnoid spaces is hypothesized to
explain why papilledema may be present in a patient without
elevated ICP, and not occur in patients with elevated ICP (Killer
et al., Clinical & Experimental Ophthalmology 2009;
37(5):444-447).
Conjugacy of Eye Movement
[0008] It is conceivable that the process of spatial calibration
may mask deficits in ocular motility. If there is a persistent and
replicable weakness in movement of an eye, the camera will
interpret the eye's ability to move in the direction of that
weakness as the full potential range of motion in that direction
due to the calibration process. In other words if the subject is
directed to look at a position but consistently only moves halfway
there, the calibration process will account for that when tracking
subsequent eye movements and interpret movements to the halfway
point as occurring at the full range of normal motion. If during
calibration one eye only makes it halfway to the target, but the
other eye is fully there, the camera will interpret both eyes as
being together when one performs half the eye movement as the
other. Thus binocular spatial calibration may preclude detection of
disconjugate gaze unless each eye is calibrated separately using a
dichoptic apparatus (Schotter, et al., PLoS One, 2012; 7:
e35608).
[0009] Conjugate gaze is the motion of both eyes in the same
direction at the same time. The conjugate gaze is believed to be
controlled by the following four different mechanisms: the saccadic
system that allows for voluntary direction of the gaze, the pursuit
system that allows the subject to follow a moving object, the
optokinetic system that restores gaze despite movements of the
outside world, and the vestibulo-ocular reflex system (VOR system)
that corrects for the movements of the head to preserve the stable
visual image of the world.
[0010] Disconjugate gaze or strabismus is a failure of the eyes to
turn together in the same direction. Normal coordinated movements
of the eyes produces conjugate gaze, in which the eyes are aligned
for binocular 3-dimensional vision. Misalignment results in loss of
this vision. With the visual axis of each eye fixated on a
different point, diplopia (or double vision) usually results and
may be perceived as a blurred image if the two images are very
closely aligned. However, if the image from the weaker eye is
suppressed by higher cortical centers, there is only one image with
loss of visual acuity (or a blurred image). Pathology usually
resides either in the oculomotor muscles or their neuronal pathways
including the medial longitudinal fasiculus, the paramedian pontine
reticular formation, the medullary reticular formation, the
superior colliculus, or the cranial nerves III, IV, or VI or their
nuclei.
[0011] Assessment of eye movement conjugacy is commonly performed
by primary care physicians, neurologists, ophthalmologists,
neurosurgeons, emergency medicine doctors, and trauma surgeons to
rapidly assess global neurologic functioning. In stable patients,
ophthalmologists and neurologists perform more detailed examination
to assess the alignment of the eyes such as the cover test and
Hirschberg corneal reflex test. Other tests used to assess
binocular conjugacy include the Titmus House Fly test, Lang's
stereo test, the Hess screen, red-filter test, Maddox rod
evaluation and Lancaster red-green test. In young children, who may
be less cooperative with an examiner, binocular gaze conjugacy may
only be assessable with simpler algorithms, such as following an
object moving in a set trajectory (Cavezian, et al., Res Dev
Disabil., 2010; 31: 1102-1108). When such tests are performed in
conjunction with the remainder of the neurophthalmic and physical
evaluation, one can localize neurologic lesions and quantitate
ocular motility deficits with great accuracy. Despite this
capability, these tests are not used routinely in the emergency
setting due to the need for a trained practitioner to administer
them, the requirement for sophisticated equipment, and the urgent
nature of many neurologic disorders.
[0012] Assessment of binocular gaze conjugacy in primates for
research purposes is performed with the magnetic search coil
technique requiring coils implanted into the bulbar conjunctiva
(Schultz, et al., J Neurophysiol., 2013; 109: 518-545). This
technique was first described by Fuchs and Robinson in 1966 (Fuchs,
et al., J Appl Physiol., 1966; 21: 1068-1070) and can also be
performed in humans fitted with sclera search coils designed
specifically for tracking eye movements.
[0013] Experimentally, spatially calibrated eye movement tracking
using the Bouis oculometer (Bach, et al., J Neurosci Methods, 1983;
9: 9-14), which requires that the head is rigidly fixed, shows that
healthy seven year old children have increased disconjugacy of eye
movement during saccades relative to adults while both perform a
reading task (Bucci, et al., Vision Res., 2006; 46: 457-466).
Research on disconjugacy during reading can be performed using a
dichoptic apparatus in which the individual eyes are spatially
calibrated separately and presented with stimuli to assess
movements separately for simultaneous comparison to each other
(Schotter, et al., PLoS One, 2012; 7: e35608).
Brain Injury
[0014] One of the problems associated with the study of outcomes
after brain injury, is the heterogeneous nature of such injury in
terms of etiology, anatomic sequelae, and physiologic and
psychologic impact. The etiology of injury affects the anatomic
sequelae and ranges from global mechanisms such as
acceleration/deceleration and blast, to potentially more focal
mechanisms such as blunt impact and penetrating trauma. Some injury
mechanisms result in structural changes to the brain that can be
visualized using conventional imaging such as MRI and CT scan,
while other injuries appear radiographically normal.
[0015] Acceleration/deceleration injury may result in structurally
visible coup/contrecoup injuries and less visible diffuse axonal
injury (DAI) (Cecil, et al., Journal of Neurosurgery, 1998; 88:
795-801) Acceleration/deceleration is also thought to be one of the
potential mechanisms for concussion which is the most common form
of civilian radiographically normal brain injury (Bayly, et al.,
Journal of Neurotrauma, 2005; 22: 845-856; Daneshvar, et al.,
Physical Medicine and Rehabilitation Clinics of North America,
2011; 22: 683-700). Concussion is brain injury, most often
resulting from blunt impact, in the absence of structural
abnormality by conventional radiographic imaging such as computed
tomography (CT) scan (McCrory, et al., The Physician and Sports
Medicine, 2009; 37: 141-159). Concussion may include transient loss
or disruption of neurologic function. The term "subconcussion" may
be used to describe the sequelae of brain injury in the absence of
transient loss or disruption of neurologic function. Both
concussion and subconcussion as well as blast injury may be termed
"non-structural" brain injury.
[0016] Blast injury resembles blunt impact brain injury in that
both may be associated with radiographically apparent cerebral
edema and intracranial hemorrhage, however with blast injury the
edema onset may be more rapid and severe, and there is greater
likelihood of clinical vasospasm (Armonda, et al., Neurosurgery,
2006; 59: 1215-1225). Blast injury is very frequently
radiographically normal, yet mild or moderate blast injury is
strongly associated with post-traumatic stress disorder and other
cognitive dysfunctions (Cernak, et al., The Journal of Trauma,
2001; 50: 695-706). The actual cause of blast brain injury is
suspected to be multifactorial and often results in DAI (Leung, et
al., Mol Cell Biomech, 2008; 5: 155-168). A shock wave resulting
from pressure changes caused by the explosion impacts both cranial
and non-cranial structures (Courtney, et al., Medical Hypotheses,
2009; 72: 76-83; Bauman, et al., Journal of Neurotrauma, 2009; 26:
841-860). Blast injury affects the brain through several
mechanisms: primary brain injury caused by blast-wave induced
changes in atmospheric pressure directly impacting the brain;
secondary injury resulting from objects put in motion by the blast
that impact the head, and tertiary injury resulting from the victim
striking the head upon falling or being propelled into a solid
object (Warden, The Journal of Head Trauma Rehabilitation, 2006;
21: 398-402).
[0017] Blunt impact and penetrating trauma can result in both
diffuse and focal injury. One mechanism by which focal brain injury
leads to neurologic damage is cortical spreading depression
(Hartings, et al., Journal of Neurotrauma, 2009; 26: 1857-1866),
which is currently only thought measurable using invasive
means.
[0018] Brain injury may be associated with short term sequelae
including headaches and memory problems, and longer term problems
including dementia, Parkinsonism and motor-neuron disease
(Daneshvar, et al., Physical Medicine and Rehabilitation Clinics of
North America, 2011; 22: 683-700). Both concussion and mild blast
injury may be associated with post-traumatic stress disorder and
cognitive impairment (Taber, et al., The Journal of Neuropsychiatry
and Clinical Neurosciences, 2006; 18: 141-145). Clinical tests for
concussion show poor test reliability (Broglio, et al., Journal of
Athletic Training, 2007; 42: 509-514) and thus concussion remains a
diagnosis that is difficult to treat because it is difficult to
detect.
[0019] Traumatic brain injury can impact eye movement through a
multitude of mechanisms including direct compression of cranial
nerves, trauma to cranial nerves, injury to cranial nerve nuclei
and supranuclear impacts.
[0020] Many cases of trauma result in elevated intracranial
pressure. If untreated, acute elevations in intracranial pressure
(ICP) due to brain injury can result in permanent neurologic
impairment or death. Double vision and other ocular disturbances
associated with elevated ICP were first described by Hippocrates in
approximately 400 B.C. (Aronyk, Neurosurgery Clinics of North
America, 1993; 4: 599-609). Papilledema, and its association with
elevated ICP was described by Albrecht von Graefe in 1860 (Pearce,
European Neurology, 2009; 61: 224-249). In the post-radiographic
era, acute and chronic pathology of the optic nerve and disc, and
of ocular motility are well characterized in people with elevated
ICP (Dennis, et al., Archives of Neurology, 1981; 38: 607-615;
Zeiner, et al., Child's Nerv. Syst., 1985; 1: 115-122; Altintas, et
al., Graefe's Archive for Clinical and Experimental Ophthalmology,
2005; 243: 1213-1217). Clinically apparent disruption of ocular
motility may precede computed tomography (CT) findings in some
subjects with acutely elevated ICP (Tzekov, et al., Pediatric
Neurosurgery, 1991; 17: 317-320; Chou, et al., Neurosurgery Clinics
of North America, 1999; 10: 587-608).
[0021] Several potential mechanisms may contribute to cranial nerve
dysfunction due to elevated intracranial pressure. The IIIrd nerve
(oculomotor) may be directly compressed by the medial aspect of the
temporal lobe with frontal or temporal mass lesions, or diffuse
supratentorial mass effect. The VIth nerve (abducens) is
anatomically vulnerable to infratentorial mass effect at the
prepontine cistern and to hydrocephalus from stretch as it
traverses the tentorial edge.
[0022] Elevated intracranial pressure slows axoplasmic transport
along cranial nerves (Balarratnasingam, et al., Brain Research,
2011; 1417: 67-76). The optic nerve (II) is most frequently
analyzed because it can be visualized directly with ophthalmoscopy,
and indirectly with ultrasound. Edema of the optic nerve appears
earlier than ocular fundus changes, and resolves after treatment of
elevated ICP Gangemi, et al., Neurochirurgia, 1987; 30: 53-55).
Fluctuating elevated neural pressure leads to impaired axonal
transport along the optic nerve after as little as 30 minutes in a
rabbit model (Balarratnasingam, et al., Brain Research, 2011; 1417:
67-76). Axoplasmic flow stasis and intraneuronal ischemia may occur
in the optic nerve exposed to chronically elevated ICP (Lee, et
al., Current Neurology and Neuroscience Reports, 2012). Among the
nerves impacting ocular motility, the trochlear nerve (IV),
followed by oculomotor (III) and then abducens (VI), has the
greatest length of exposure to the subarachnoid space with the
narrowest diameter, and thus may be most vulnerable to a pressure
induced palsy (Hanson, et al., Neurology, 2004; 62: 33-36; Adler,
et al., Journal of Neurosurgery, 2002; 96: 1103-1113). The optic
nerve (II) has approximately the same length of exposure as the
abducens (Murali, et al., in Head Injury (ed. Paul Cooper and John
Golfinos) (McGraw-Hill, 2000)), and thus papilledema, or swelling
of the optic disc apparent on ophthalmoscopic examination may be a
relatively late indicator of elevated ICP (Killer, et al., Clinical
& Experimental Ophthalmology, 2009; 37: 444-447; Nazir, et al.,
J Aapos, 2009; 13: 62-66). Papilledema is not always a sensitive
marker for hydrocephalus leading to elevated ICP, and in one study
was present in as few as 14% of patients with a shunt malfunction
(Nazir, et al., J Aapos, 2009; 13: 62-66) consistent with the
relatively short intracranial course of II compared to cranial
nerves III and IV. Compartmentalization of subarachnoid spaces is
hypothesized to explain why papilledema may be present in a patient
without elevated ICP, and not occur in patients with elevated ICP
(Killer, et al., Clinical & Experimental Ophthalmology, 2009;
37: 444-447).
Vergence
[0023] The ability to focus both eyes on a single point in space
requires intact vergence. Experienced optometrists detect vergence
disorders in up to 90% of patients with "mild" brain injury due to
blast or concussion (Goodrich et al., Optometry and Vision Science:
official publication of the American Academy of Optometry 2013;
90:105-112; Szymanowicz et al., Journal of Rehabilitation Research
and Development 2012; 49:1083-1100; Thiagaraj an et al., Ophthalmic
Physiol Opt 2011; 31:456-468; Ciuffreda et al., Optometry 2007;
78:155-161; Kapoor et al., Current Treatment Options in Neurology
2002; 4:271-280.
[0024] All publications, patent applications, patents and other
reference material mentioned are incorporated by reference in their
entirety, for instance, Patent Cooperation Treaty Application No.
PCT/US2013/033672 filed Mar. 25, 2013, and U.S. provisional
application 61/881,014, filed Sep. 23, 2013. In addition, the
materials, methods and examples are only illustrative and are not
intended to be limiting. The citation of references herein is not
to be construed as an admission that the references are prior art
to the present invention.
SUMMARY OF THE INVENTION
[0025] In a first aspect, the invention provides methods for
localizing a central nervous system lesion in a subject by [0026]
a) Tracking eye movement of both eyes of the subject; [0027] b)
Analyzing eye movement of both eyes of the subject; [0028] c)
Comparing eye movement of a first eye of the subject to eye
movement of a second eye of the subject; [0029] d) Identifying the
subject as having eye movement of a first eye that is significantly
different from eye movement of a second eye; and [0030] e)
Localizing the central nervous system lesion.
[0031] The lesion may feature increased intracranial pressure, and
the lesion may be, for instance, subsequent to a trauma, a
cerebrovascular accident (CVA), an aneurysm or other vascular
lesion, a tumor whether malignant or benign, an infectious process,
an inflammatory disease, a disruption of venous drainage, a
pseudotumor, neurodegenerative disease, hydrocephalus or
idiopathic. Localizing the central nervous system lesion may be
performed, for instance, by determining the side of the brain that
is experiencing increased intracranial pressure. The side of the
brain that is experiencing increased intracranial pressure may be
determined, for instance, by determining eye movement on that side
of the brain that is altered compared to the other side or that is
altered compared to that subject's baseline eye movement or to a
control subject's eye movement.
[0032] In a second aspect, the invention provides methods for
diagnosing a central nervous system lesion in a subject by [0033]
a) Tracking eye movement of both eyes of the subject; [0034] b)
Analyzing eye movement of both eyes of the subject; [0035] c)
Comparing eye movement of a first eye of the subject to eye
movement of a second eye of the subject; and [0036] d) Identifying
the subject as having eye movement of a first eye that is
significantly different from eye movement of a second eye.
[0037] The lesion may feature increased intracranial pressure, and
the lesion may be, for instance, subsequent to a trauma, a
cerebrovascular accident (CVA), an aneurysm or other vascular
lesion, a tumor whether malignant or benign, an infectious process,
an inflammatory disease, a disruption of venous drainage, a
pseudotumor, hydrocephalus or idiopathic.
[0038] In a third aspect, the invention provides methods for
assessing and quantitating central nervous system integrity in a
subject by [0039] a) Tracking eye movement of both eyes of the
subject; [0040] b) Analyzing eye movement of both eyes of the
subject; [0041] c) Comparing eye movement of a first eye of the
subject to eye movement of a second eye of the subject; and [0042]
d) Identifying the subject as having eye movement of a first eye
that is significantly different from eye movement of a second
eye.
[0043] In a fourth aspect, the invention provides methods for
detecting or screening for reduced or impaired cranial nerve
function or conduction in a subject by [0044] a) Tracking eye
movement of both eyes of the subject; [0045] b) Analyzing eye
movement of both eyes of the subject; [0046] c) Comparing eye
movement of a first eye of the subject to eye movement of a second
eye of the subject; and [0047] d) Identifying the subject as having
eye movement of a first eye that is significantly different from
eye movement of a second eye.
[0048] The cranial nerve may be, for instance, one or more of II,
III, IV or VI. The reduced or impaired cranial nerve function or
conduction may be unilateral or bilateral and may be caused all or
in part by increased intracranial pressure, and it may be caused
all or in part by a localized or diffuse lesion or disease process.
The reduced function of the cranial nerve may be due to pathology
impacting the nerve itself, its associated nucleus or supranuclear
inputs including, for instance, lesions affecting the cerebral
cortex.
[0049] In a fifth aspect, the invention provides methods for
detecting, diagnosing or screening for increased intracranial
pressure in a subject by [0050] a) Tracking eye movement of both
eyes of the subject; [0051] b) Analyzing eye movement of both eyes
of the subject; [0052] c) Comparing eye movement of a first eye of
the subject to eye movement of a second eye of the subject; and
[0053] d) Identifying the subject as having eye movement of a first
eye that is significantly different from eye movement of a second
eye.
[0054] The increased intracranial pressure may be, for instance,
10%, 20%, 30%, 50%, 100%, 200%, 300% or more greater than
normal.
[0055] In a sixth aspect, the invention provides methods for
detecting, diagnosing, monitoring progression of or screening for a
disease or condition featuring increased intracranial pressure by
[0056] a) Tracking eye movement of both eyes of the subject; [0057]
b) Analyzing eye movement of both eyes of the subject; [0058] c)
Comparing eye movement of a first eye of the subject to eye
movement of a second eye of the subject; and [0059] d) Identifying
the subject as having eye movement of a first eye that is
significantly different from eye movement of a second eye.
[0060] The disease or condition featuring increased intracranial
pressure may be, for instance, a trauma, cerebrovascular accident
(CVA), an aneurysm or other vascular lesion, a tumor whether
malignant or benign, an infectious process, an inflammatory
disease, a disruption of venous drainage, a pseudotumor,
hydrocephalus or idiopathic.
[0061] In a seventh aspect, the invention provides methods for
detecting, diagnosing or screening for concussion by [0062] a)
Tracking eye movement of both eyes of the subject; [0063] b)
Analyzing eye movement of both eyes of the subject; [0064] c)
Comparing eye movement of a first eye of the subject to eye
movement of a second eye of the subject; and [0065] d) Identifying
the subject as having eye movement of a first eye that is
significantly different from eye movement of a second eye.
[0066] In a eighth aspect, the invention provides methods for
detecting, diagnosing or screening for transtentorial herniation by
[0067] a) Tracking eye movement of both eyes of the subject; [0068]
b) Analyzing eye movement of both eyes of the subject; [0069] c)
Comparing eye movement of a first eye of the subject to eye
movement of a second eye of the subject; and [0070] d) Identifying
the subject as having eye movement of a first eye that is
significantly different from eye movement of a second eye.
[0071] In a ninth aspect, the invention provides methods for
quantifying the severity of normal pressure hydrocephalus,
detecting or screening for shunt malfunction or optimizing valve
pressure for treating normal pressure hydrocephalus by [0072] a)
Tracking eye movement of both eyes of the subject; [0073] b)
Analyzing eye movement of both eyes of the subject; [0074] c)
Comparing eye movement of a first eye of the subject to eye
movement of a second eye of the subject; and [0075] d) Identifying
the subject as having eye movement of a first eye that is
significantly different from eye movement of a second eye.
[0076] In a tenth aspect, the invention provides methods for
detecting or evaluating posterior fossa mass effect by [0077] a)
Tracking eye movement of both eyes of the subject; [0078] b)
Analyzing eye movement of both eyes of the subject; [0079] c)
Comparing eye movement of a first eye of the subject to eye
movement of a second eye of the subject; and [0080] d) Identifying
the subject as having eye movement of a first eye that is
significantly different from eye movement of a second eye.
[0081] In an eleventh aspect, the invention provides methods for
detecting, screening for or diagnosing a disorder that impedes
conductance through the optic disc or optic nerve by [0082] a)
Tracking eye movement of both eyes of the subject; [0083] b)
Analyzing eye movement of both eyes of the subject; [0084] c)
Comparing eye movement of a first eye of the subject to eye
movement of a second eye of the subject; and [0085] d) Identifying
the subject as having eye movement of a first eye that is
significantly different from eye movement of a second eye.
[0086] In a twelfth aspect, the invention provides methods for
quantitating the extent of impairment of the entire central nervous
system by [0087] a) Tracking eye movement of both eyes of the
subject; [0088] b) Analyzing eye movement of both eyes of the
subject; [0089] c) Comparing eye movement of a first eye of the
subject to eye movement of a second eye of the subject; and [0090]
d) Identifying the subject as having eye movement of a first eye
that is significantly different from eye movement of a second
eye.
[0091] The integrity of the central nervous system may be impaired
by, for instance, trauma, stroke, a neurodegenerative disease,
inflammation, an infectious process, a neoplastic process, vascular
disease, an autoimmune disease, a genetic disorder or other causes.
This aspect of the invention provides methods for quantitating the
extent of global CNS impairment. This aspect of the invention takes
advantage of the fact that more that 55% of the brain contributes
to vision and visual acuity.
[0092] In a thirteenth aspect the invention provides methods for
quantitating or assessing cognitive integrity by [0093] a) Tracking
eye movement of both eyes of the subject; [0094] b) Analyzing eye
movement of both eyes of the subject; [0095] c) Comparing eye
movement of a first eye of the subject to eye movement of a second
eye of the subject; and [0096] d) Identifying the subject as having
eye movement of a first eye that is significantly different from
eye movement of a second eye.
[0097] In a fourteenth aspect, the invention provides a kit useful
for detecting or screening for reduced or impaired cranial nerve
function or conduction, useful for detecting, diagnosing or
screening for increased intracranial pressure, or useful for
detecting, diagnosing, monitoring progression of or screening for a
disease or condition featuring increased intracranial pressure
containing a device for tracking eye movement, one or more means
for analyzing eye movement tracking data such as, for instance, an
algorithm or computer program, and instructions. Processing eye
movement observations, making measurements of eye movement
observations, determining distributions of values measured and
performing statistical tests may all be accomplished using suitable
computer software that may be included in such a kit.
[0098] In a fifteenth aspect, the invention provides methods for
assessing conjugacy or disconjugacy of eye movement in a subject by
[0099] a) Tracking eye movement of both eyes of the subject; [0100]
b) Analyzing eye movement of both eyes of the subject; [0101] c)
Comparing the x or y Cartesian coordinates at any time point for
the eye movement of a first eye of the subject to the respective x
or y Cartesian coordinates at the time point for the eye movement
of a second eye of the subject; [0102] d) Providing a sum of the
differences between all of the x coordinates of the first eye
compared to the second eye over the time tested or providing a sum
of the differences in y coordinates of the first eye compared to
the second eye over the time tested or both; and, optionally [0103]
e) Providing a total sum of the differences between both x and y
coordinates of the first eye compared to the second eye over the
time tested.
[0104] In a sixteenth aspect, the invention provides methods for
diagnosing a disease characterized by or featuring disconjugate
gaze or strabismus in a subject by [0105] a) Tracking eye movement
of both eyes of the subject; [0106] b) Analyzing eye movement of
both eyes of the subject; [0107] c) Comparing the x or y Cartesian
coordinates at any time point for the eye movement of a first eye
of the subject to the respective x or y Cartesian coordinates at
the time point for the eye movement of a second eye of the subject;
[0108] d) Providing a sum of the differences between all of the x
coordinates of the first eye compared to the second eye over the
time tested or providing a sum of the differences in y coordinates
of the first eye compared to the second eye over the time tested or
both; and, optionally [0109] e) Providing a total sum of the
differences between both x and y coordinates of the first eye
compared to the second eye over the time tested.
[0110] In some instances, the disease may be one of trauma,
hydrocephalus, demyelination, inflammation, infection, degenerative
disease, neoplasm/paraneoplastic syndrome, metabolic disease
including diabetes, or vascular disruption such as stroke,
hemorrhage or aneurysm formation. The disease may also be an
ophthalmologic disease such as conjunctivitis, ophthalmoplegia,
ocular injury or other diseases. In some instances, the subject
suffering from the disease may have a total sum of the differences
between both x and y coordinates of the first eye compared to the
second eye over the time tested that is 10%, 20%, 30%, 40%, 50%,
60%, 70%, 80%, 90%, 100%, 150%, 200%, or two, three, four, five,
six, eight, ten or more times greater than the total sum of the
differences between both x and y coordinates of the first eye
compared to the second eye over the time tested in a healthy
control or in a reference value based upon one or more healthy
controls or based upon the subject at a time before the
disease.
[0111] In a seventeenth aspect, the invention provides methods for
assessing and quantitating central nervous system integrity in a
subject by [0112] a) Tracking eye movement of both eyes of the
subject; [0113] b) Analyzing eye movement of both eyes of the
subject; [0114] c) Comparing the x or y Cartesian coordinates at
any time point for the eye movement of a first eye of the subject
to the respective x or y Cartesian coordinates at the time point
for the eye movement of a second eye of the subject; [0115] d)
Providing a sum of the differences between all of the x coordinates
of the first eye compared to the second eye over the time tested or
providing a sum of the differences in y coordinates of the first
eye compared to the second eye over the time tested or both; and,
optionally [0116] e) Providing a total sum of the differences
between both x and y coordinates of the first eye compared to the
second eye over the time tested.
[0117] In a eighteenth aspect, the invention provides methods for
detecting, monitoring progression of or screening for a disease or
condition characterized by disconjugate gaze or strabismus by
[0118] a) Tracking eye movement of both eyes of the subject; [0119]
b) Analyzing eye movement of both eyes of the subject; [0120] c)
Comparing the x or y Cartesian coordinates at any time point for
the eye movement of a first eye of the subject to the respective x
or y Cartesian coordinates at the time point for the eye movement
of a second eye of the subject; [0121] d) Providing a sum of the
differences between all of the x coordinates of the first eye
compared to the second eye over the time tested or providing a sum
of the differences in y coordinates of the first eye compared to
the second eye over the time tested or both; and, optionally [0122]
e) Providing a total sum of the differences between both x and y
coordinates of the first eye compared to the second eye over the
time tested.
[0123] In some instances, the disease may be one of trauma,
hydrocephalus, demyelination, inflammation, infection, degenerative
disease, neoplasm/paraneoplastic syndrome, metabolic disease
including diabetes, or vascular disruption such as stroke,
hemorrhage or aneurysm formation. The disease may also be an
ophthalmologic disease such as conjunctivitis, ophthalmoplegia,
ocular injury or other diseases. In some instances, the subject
suffering from the disease may have a total sum of the differences
between both x and y coordinates of the first eye compared to the
second eye over the time tested that is 10%, 20%, 30%, 40%, 50%,
60%, 70%, 80%, 90%, 100%, 150%, 200%, or two, three, four, five,
six, eight, ten or more times greater than the total sum of the
differences between both x and y coordinates of the first eye
compared to the second eye over the time tested in a healthy
control or in a reference value based upon one or more healthy
controls or based upon the subject at a time before the
disease.
[0124] In a nineteenth aspect, the invention provides methods for
quantitating the extent of disconjugate gaze or strabismus by
[0125] a) Tracking eye movement of both eyes of the subject; [0126]
b) Analyzing eye movement of both eyes of the subject; [0127] c)
Comparing the x or y Cartesian coordinates at any time point for
the eye movement of a first eye of the subject to the respective x
or y Cartesian coordinates at the time point for the eye movement
of a second eye of the subject; [0128] d) Providing a sum of the
differences between all of the x coordinates of the first eye
compared to the second eye over the time tested or providing a sum
of the differences in y coordinates of the first eye compared to
the second eye over the time tested or both; and, optionally [0129]
e) Providing a total sum of the differences between both x and y
coordinates of the first eye compared to the second eye over the
time tested.
[0130] In a twentieth aspect, the invention provides a kit useful
for detecting, screening for or quantitating disconjugate gaze or
strabismus, useful for diagnosing a disease characterized by
disconjugate gaze or strabismus in a subject, useful for detecting,
monitoring progression of or screening for a disease or condition
characterized by disconjugate gaze or strabismus in a subject or
useful for quantitating the extent of disconjugate gaze or
strabismus, containing a device for tracking eye movement, one or
more means for analyzing eye movement tracking data such as, for
instance, an algorithm or computer program, and instructions.
Processing eye movement observations, making measurements of eye
movement observations, determining distributions of values measured
and performing statistical tests may all be accomplished using
suitable computer software that may be included in such a kit.
[0131] In a twenty first aspect, the invention provides methods for
assessing or quantitating structural and non-structural traumatic
brain injury by [0132] a) Tracking eye movement of at least one eye
of the subject; [0133] b) Analyzing eye movement of at least one
eye of the subject; [0134] c) Comparing eye movement of at least
one eye of the subject to a normal or mean eye movement; and,
optionally [0135] d) Calculating a standard deviation or p value
for eye movement of at least one eye of the subject as compared to
the normal or mean eye movement.
[0136] In some instances, eye movement of both eyes of the subject
are tracked and analyzed. In some instances, both x and y
coordinates of eye position for one or both eyes of a subject are
collected for at least about 100, 500, 1,000, 5,000, 10,000,
50,000, 100,000, 200,000 or more eye positions. In some instances,
the eye position is effectively the pupil position. In some
instances the eye movement is tracked for about 30, 60, 90, 100,
120, 150, 180, 200, 220, 240, 270, 300, 360 or more seconds.
[0137] The comparing eye movement of at least one eye of the
subject to a normal or mean eye movement may feature comparing eye
movement of at least one eye of the subject to the eye movement of
the other eye of the subject or may feature comparing eye movement
of at least one eye of the subject to the eye movement of an eye of
one or more other subjects or controls. In some instances, the
comparing eye movement of at least one eye of the subject to a
normal or mean eye movement may feature comparing the eye movement
of both eyes of the subject to the eye movement of one or both eyes
of one or more other subjects or controls.
[0138] In some instances, the method may feature collecting raw x
and y cartesian coordinates of pupil position, normalizing the raw
x and y Cartesian coordinates, and sorting the data by eye.
[0139] The method may also feature calculating individual metrics,
such as, for instance, segment mean, segment median, and segment
variance. The method may also feature calculating specific metrics
such as, for example,
L.varYtop=Var(y.sub.1,average k=1:5,1) (13)
R.varYtop==Var(y.sub.2,average k=1:5,1) (14)
L.varXrit=Var(x.sub.1,average k=1:5,2) (15)
R.varXrit=Var(x.sub.2,average k=1:5,2) (16)
L.varYbot=Var(y.sub.1,average k=1:5,3) (17)
R.varYbot=Var(y.sub.2,average k=1:5,3) (18)
L.varXlef=Var(x.sub.1,average k=1:5,4) (19)
L.varXlef=Var(x.sub.2,average k=1:5,4) (20)
L.varTotal=Average(Var(x.sub.1,average k=1:5)+Var(y.sub.1,average
k=1:5)) (20)
R.varTotal=Average(Var(x.sub.2,average k=1:5)+Var(y.sub.2,average
k=1:5)) (22)
or segment standard deviation and segment skew such as, for
instance,
L.SkewTop=Skew(y.sub.1,average k=1:5,1) (27)
R.SkewTop=Skew(y.sub.2,average k=1:5,1) (28)
L.SkewRit=Skew(y.sub.1,average k=1:5,2) (29)
R.SkewRit=Skew(y.sub.2,average k=1:5,2) (30)
L.SkewBot=Skew(y.sub.1,average k=1:5,3) (31)
R.SkewBot=Skew(y.sub.2,average k=1:5,3) (32)
L.SkewLef=Skew(y.sub.1,average k=1:5,4) (33)
R.SkewLef=Skew(y.sub.2,average k=1:5,4) (34)
or segment normalized skew, such as, for instance,
SkewNorm ( x ~ j , k , l ) = Skew ( x ~ j , k , l ) .sigma. x ~ j ,
k , l , ( 35 ) SkewNorm ( y ~ j , k , l ) = Skew ( y ~ j , k , l )
.sigma. y ~ j , k , l , ( 36 ) L . SkewTopNorm = SkewNorm ( y ~ 1 ,
average k = 1 : 5 , 1 ) ( 37 ) R . SkewTopNorm = SkewNorm ( y ~ 2 ,
average k = 1 : 5 , 1 ) ( 38 ) L . SkewRitNorm = SkewNorm ( x ~ 1 ,
average k = 1 : 5 , 2 ) ( 39 ) R . SkewRitNorm = SkewNorm ( x ~ 2 ,
average k = 1 : 5 , 2 ) ( 40 ) BoxHeight j , k L . SkewBotNorm =
SkewNorm ( y ~ 1 , average k = 1 : 5 , 3 ) ( 41 ) R . SkewBotNorm =
SkewNorm ( y ~ 2 , average k = 1 : 5 , 3 ) ( 42 ) L . SkewLefNorm =
SkewNorm ( x ~ 1 , average k = 1 : 5 , 4 ) ( 43 ) R . SkewLefNorm =
SkewNorm ( x ~ 2 , average k = 1 : 5 , 4 ) ( 44 ) ##EQU00001##
[0140] The method may also feature calculating box height, box
width, box area, or box aspect ratio.
Box Height
[0141] BoxHeight.sub.j,k=y.sub.j,k,1-y.sub.j,k,3 (45)
Box Width
[0142] BoxWidth.sub.j,k=x.sub.j,k,2-x.sub.j,k,4 (46)
Box Aspect Ratio
[0143] AspectRatio j , k = BoxHeight j , k BoxWidth j , k ( 47 )
##EQU00002##
Box Area
[0144] BoxArea.sub.j,k=BoxHeight.sub.j,k.times.BoxWidth.sub.j,k
(48)
[0145] The method may also feature calculating conjugacy of eye
movement or variance from perfect conjugacy of eye movement, such
as, for example,
Conj varXtop = .SIGMA. ( x ~ 1 ) 2 - 0 .SIGMA. x ~ 1 , ( 57 ) Conj
varXrit = .SIGMA. ( x ~ 2 ) 2 - 0 .SIGMA. x ~ 2 , ( 58 ) Conj
varXbot = .SIGMA. ( x ~ 3 ) 2 - 0 .SIGMA. x ~ 3 , ( 59 ) Conj
varXlef = .SIGMA. ( x ~ 4 ) 2 - 0 .SIGMA. x ~ 4 , ( 60 ) Conj
varYtop = .SIGMA. ( y ~ 1 ) 2 - 0 .SIGMA. y ~ 1 , ( 61 ) Conj
varYrit = .SIGMA. ( y ~ 2 ) 2 - 0 .SIGMA. y ~ 2 , ( 62 ) Conj
varYbot = .SIGMA. ( y ~ 3 ) 2 - 0 .SIGMA. y ~ 3 , ( 63 ) Conj
varYrit = .SIGMA. ( y ~ 4 ) 2 - 0 .SIGMA. y ~ 4 , ( 64 ) Conj
CorrXYtop = .SIGMA. x ~ 1 y ~ 1 .SIGMA. x ~ 1 - 1 , ( 65 ) Conj
CorrXYrit = .SIGMA. x ~ 2 y ~ 2 .SIGMA. x ~ 2 - 1 , ( 66 ) Conj
CorrXYbot = .SIGMA. x ~ 3 y ~ 3 .SIGMA. x ~ 3 - 1 , ( 67 ) Conj
CorrXYlef = .SIGMA. x ~ 4 y ~ 4 .SIGMA. x ~ 4 - 1 ( 68 )
##EQU00003##
or variance x ratio top/bottom (conjugacy), variance y ratio
top/bottom (conjugacy), variance x ratio left/right (conjugacy), or
variance y ratio left/right (conjugacy).
[0146] In some instances, one or more of the L height, L width, L
area, L varXrit, L varXlef, L varTotal, R height, R width, R area,
R varYtop, R varXrit, R varXlef, R varTotal, Conj varX, Conj
varXrit, Conj varXbot, Conj varXlef and Conj varYlef may be
especially useful for demonstrating or detecting or assessing
structural or non-structural traumatic brain injury such as, for
instance, a concussion, subconcussion or blast injury. In some
instances, two, three, four, five, six, seven, eight, nine, ten or
more metrics may be observed or determined.
[0147] A standard deviation or p value of 0.25, 0.3, 0.4, 0.5,
0.75. 0.8, 0.9, 1.0, 1.5, 2.0, 2.5 or more may reflect that a
subject has structural or non-structural traumatic brain injury
such as, for instance, a concussion, subconcussion or blast injury.
As such, the methods described herein may be used to detect
concussion, subconcussion and blast injury and assess or determine
the severity of the same.
[0148] In a twenty second aspect, the invention provides methods
for diagnosing a disease characterized by or featuring structural
and non-structural traumatic brain injury in a subject by [0149] a)
Tracking eye movement of at least one eye of the subject; [0150] b)
Analyzing eye movement of at least one eye of the subject; [0151]
c) Comparing eye movement of at least one eye of the subject to a
normal or mean eye movement; and, optionally [0152] d) Calculating
a standard deviation or p value for eye movement of at least one
eye of the subject.
[0153] In some instances, eye movement of both eyes of the subject
are tracked and analyzed. In some instances, both x and y
coordinates of eye position for one or both eyes of a subject are
collected for at least about 100, 500, 1,000, 5,000, 10,000,
50,000, 100,000, 200,000 or more eye positions. In some instances,
the eye position is effectively the pupil position. In some
instances the eye movement is tracked for about 30, 60, 90, 100,
120, 150, 180, 200, 220, 240, 270, 300, 360 or more seconds.
[0154] The comparing eye movement of at least one eye of the
subject to a normal or mean eye movement may feature comparing eye
movement of at least one eye of the subject to the eye movement of
the other eye of the subject or may feature comparing eye movement
of at least one eye of the subject to the eye movement of an eye of
one or more other subjects or controls. In some instances, the
comparing eye movement of at least one eye of the subject to a
normal or mean eye movement may feature comparing the eye movement
of both eyes of the subject to the eye movement of one or both eyes
of one or more other subjects or controls.
[0155] In some instances, the method may feature collecting raw x
and y cartesian coordinates of pupil position, normalizing the raw
x and y Cartesian coordinates, and sorting the data by eye.
[0156] The method may also feature calculating individual metrics,
such as, for instance, segment mean, segment median, and segment
variance. The method may also feature calculating specific metrics
such as, for example,
L.varYtop=Var(y.sub.1,average k=1:5,1) (13)
R.varYtop==Var(y.sub.2,average k=1:5,1) (14)
L.varXrit=Var(x.sub.1,average k=1:5,2) (15)
R.varXrit=Var(x.sub.2,average k=1:5,2) (16)
L.varYbot=Var(y.sub.1,average k=1:5,3) (17)
R.varYbot=Var(y.sub.2,average k=1:5,3) (18)
L.varXlef=Var(x.sub.1,average k=1:5,4) (19)
L.varXlef=Var(x.sub.2,average k=1:5,4) (20)
L.varTotal=Average(Var(x.sub.1,average k=1:5)+Var(y.sub.1,average
k=1:5)) (20)
R.varTotal=Average(Var(x.sub.2,average k=1:5)+Var(y.sub.2,average
k=1:5)) (22)
or segment standard deviation and segment skew such as, for
instance,
L.SkewTop=Skew(y.sub.1,average k=1:5,1) (27)
R.SkewTop=Skew(y.sub.2,average k=1:5,1) (28)
L.SkewRit=Skew(y.sub.1,average k=1:5,2) (29)
R.SkewRit=Skew(y.sub.2,average k=1:5,2) (30)
L.SkewBot=Skew(y.sub.1,average k=1:5,3) (31)
R.SkewBot=Skew(y.sub.2,average k=1:5,3) (32)
L.SkewLef=Skew(y.sub.1,average k=1:5,4) (33)
R.SkewLef=Skew(y.sub.2,average k=1:5,4) (34)
or segment normalized skew, such as, for instance,
SkewNorm ( x ~ j , k , l ) = Skew ( x ~ j , k , l ) .sigma. x ~ j ,
k , l , ( 35 ) SkewNorm ( y ~ j , k , l ) = Skew ( y ~ j , k , l )
.sigma. y ~ j , k , l . ( 36 ) ##EQU00004##
L.SkewTopNorm=SkewNorm(y.sub.1,average k=1:5,1) (37)
R.SkewTopNorm=SkewNorm(y.sub.2,average k=1:5,1) (38)
L.SkewRitNorm=SkewNorm(y.sub.1,average k=1:5,2) (39)
R.SkewRitNorm=SkewNorm(y.sub.2,average k=1:5,2) (40)
L.SkewBotNorm=SkewNorm(y.sub.1,average k=1:5,3) (41)
R.SkewBotNorm=SkewNorm(y.sub.2,average k=1:5,3) (42)
L.SkewLefNorm=SkewNorm(y.sub.1,average k=1:5,4) (43)
R.SkewLefNorm=SkewNorm(y.sub.2,average k=1:5,4) (44)
[0157] The ect ratio.
Box Height
[0158] BoxHeight.sub.j,k=y.sub.j,k,1-y.sub.j,k,3 (45)
Box Width
[0159] BoxWidth.sub.j,k=x.sub.j,k,2-x.sub.j,k,4 (46)
Box Aspect Ratio
[0160] AspectRatio j , k = BoxHeight j , k BoxWidth j , k ( 47 )
##EQU00005##
Box Area
[0161] BoxArea.sub.j,k=BoxHeight.sub.j,k.times.BoxWidth.sub.j,k
(48)
[0162] The method may also feature calculating conjugacy of eye
movement or variance from perfect conjugacy of eye movement, such
as, for example,
Conj varXtop = .SIGMA. ( x ~ 1 ) 2 - 0 .SIGMA. x ~ 1 , ( 57 ) Conj
varXrit = .SIGMA. ( x ~ 2 ) 2 - 0 .SIGMA. x ~ 2 , ( 58 ) Conj
varXbot = .SIGMA. ( x ~ 3 ) 2 - 0 .SIGMA. x ~ 3 , ( 59 ) Conj
varXlef = .SIGMA. ( x ~ 4 ) 2 - 0 .SIGMA. x ~ 4 , ( 60 ) Conj
varYtop = .SIGMA. ( y ~ 1 ) 2 - 0 .SIGMA. y ~ 1 , ( 61 ) Conj
varYrit = .SIGMA. ( y ~ 2 ) 2 - 0 .SIGMA. y ~ 2 , ( 62 ) Conj
varYbot = .SIGMA. ( y ~ 3 ) 2 - 0 .SIGMA. y ~ 3 , ( 63 ) Conj
varYrit = .SIGMA. ( y ~ 4 ) 2 - 0 .SIGMA. y ~ 4 , ( 64 ) Conj
CorrXYtop = .SIGMA. x ~ 1 y ~ 1 .SIGMA. x ~ 1 - 1 , ( 65 ) Conj
CorrXYrit = .SIGMA. x ~ 2 y ~ 2 .SIGMA. x ~ 2 - 1 , ( 66 ) Conj
CorrXYbot = .SIGMA. x ~ 3 y ~ 3 .SIGMA. x ~ 3 - 1 , ( 67 ) Conj
CorrXYlef = .SIGMA. x ~ 4 y ~ 4 .SIGMA. x ~ 4 - 1 ( 68 )
##EQU00006##
or variance x ratio top/bottom (conjugacy), variance y ratio
top/bottom (conjugacy), variance x ratio left/right (conjugacy), or
variance y ratio left/right (conjugacy).
[0163] In some instances, one or more of the L height, L width, L
area, L varXrit, L varXlef, L varTotal, R height, R width, R area,
R varYtop, R varXrit, R varXlef, R varTotal, Conj varX, Conj
varXrit, Conj varXbot, Conj varXlef and Conj varYlef may be
especially useful for demonstrating or detecting or assessing
structural or non-structural traumatic brain injury such as, for
instance, a concussion, subconcussion or blast injury. In some
instances, two, three, four, five, six, seven, eight, nine, ten or
more metrics may be observed or determined.
[0164] A standard deviation or p value of 0.25, 0.3, 0.4, 0.5,
0.75. 0.8, 0.9, 1.0, 1.5, 2.0, 2.5 or more may reflect that a
subject has structural or non-structural traumatic brain injury
such as, for instance, a concussion, subconcussion or blast injury.
As such, the methods described herein may be used to detect
concussion, subconcussion or blast injury and assess or determine
the severity of the same. In some instances the eye movement is
tracked for about 30, 60, 90, 100, 120, 150, 180, 200, 220, 240,
270, 300, 360 or more seconds.
[0165] In a twenty third aspect, the invention provides methods for
assessing or quantitating structural and non-structural traumatic
brain injury or diagnosing a disease characterized by or featuring
structural and non-structural traumatic brain injury in a subject
by [0166] a) Tracking eye movement of at least one eye of the
subject; [0167] b) collecting raw x and y cartesian coordinates of
pupil position; [0168] c) normalizing the raw x and y Cartesian
coordinates; and [0169] d) calculating one or more individual
metric.
[0170] In some instances, eye movement of both eyes of the subject
are tracked and analyzed. In some instances, both x and y
coordinates of eye position for one or both eyes of a subject are
collected for at least about 100, 500, 1,000, 5,000, 10,000,
50,000, 100,000, 200,000 or more eye positions. In instances where
the eye movement of both eyes are tracked, the method may
additionally feature sorting the data by eye.
[0171] The one or more individual metric may be any one of
L.varYtop=Var(y.sub.1,average k=1:5,1) (13)
R.varYtop==Var(y.sub.2,average k=1:5,1) (14)
L.varXrit=Var(x.sub.1,average k=1:5,2) (15)
R.varXrit=Var(x.sub.2,average k=1:5,2) (16)
L.varYbot=Var(y.sub.1,average k=1:5,3) (17)
R.varYbot=Var(y.sub.2,average k=1:5,3) (18)
L.varXlef=Var(x.sub.1,average k=1:5,4) (19)
L.varXlef=Var(x.sub.2,average k=1:5,4) (20)
L.varTotal=Average(Var(x.sub.1,average k=1:5)+Var(y.sub.1,average
k=1:5)) (20)
R.varTotal=Average(Var(x.sub.2,average k=1:5)+Var(y.sub.2,average
k=1:5)) (22)
or segment standard deviation and segment skew such as, for
instance,
L.SkewTop=Skew(y.sub.1,average k=1:5,1) (27)
R.SkewTop=Skew(y.sub.2,average k=1:5,1) (28)
L.SkewRit=Skew(y.sub.1,average k=1:5,2) (29)
R.SkewRit=Skew(y.sub.2,average k=1:5,2) (30)
L.SkewBot=Skew(y.sub.1,average k=1:5,3) (31)
R.SkewBot=Skew(y.sub.2,average k=1:5,3) (32)
L.SkewLef=Skew(y.sub.1,average k=1:5,4) (33)
R.SkewLef=Skew(y.sub.2,average k=1:5,4) (34)
or segment normalized skew, such as, for instance,
SkewNorm ( x ~ j , k , l ) = Skew ( x ~ j , k , l ) .sigma. x ~ j ,
k , l , ( 35 ) SkewNorm ( y ~ j , k , l ) = Skew ( y ~ j , k , l )
.sigma. y ~ j , k , l , ( 36 ) L . SkewTopNorm = SkewNorm ( y ~ 1 ,
average k = 1 : 5 , 1 ) ( 37 ) R . SkewTopNorm = SkewNorm ( y ~ 2 ,
average k = 1 : 5 , 1 ) ( 38 ) L . SkewRitNorm = SkewNorm ( x ~ 1 ,
average k = 1 : 5 , 2 ) ( 39 ) R . SkewRitNorm = SkewNorm ( x ~ 2 ,
average k = 1 : 5 , 2 ) ( 40 ) BoxHeight j , k L . SkewBotNorm =
SkewNorm ( y ~ 1 , average k = 1 : 5 , 3 ) ( 41 ) R . SkewBotNorm =
SkewNorm ( y ~ 2 , average k = 1 : 5 , 3 ) ( 42 ) L . SkewLefNorm =
SkewNorm ( x ~ 1 , average k = 1 : 5 , 4 ) ( 43 ) R . SkewLefNorm =
SkewNorm ( x ~ 2 , average k = 1 : 5 , 4 ) ( 44 ) ##EQU00007##
[0172] The method may also feature calculating box height, box
width, box area, or box aspect ratio.
Box Height
[0173] BoxHeight.sub.j,k=y.sub.j,k,1-y.sub.j,k,3 (45)
Box Width
[0174] BoxWidth.sub.j,k=x.sub.j,k,2-x.sub.j,k,4 (46)
Box Aspect Ratio
[0175] AspectRatio j , k = BoxHeight j , k BoxWidth j , k ( 47 )
##EQU00008##
Box Area
[0176] BoxArea.sub.j,k=BoxHeight.sub.j,k.times.BoxWidth.sub.j,k
(48)
[0177] The method may also feature calculating conjugacy of eye
movement or variance from perfect conjugacy of eye movement, such
as, for example,
Conj varXtop = .SIGMA. ( x ~ 1 ) 2 - 0 .SIGMA. x ~ 1 , ( 57 ) Conj
varXrit = .SIGMA. ( x ~ 2 ) 2 - 0 .SIGMA. x ~ 2 , ( 58 ) Conj
varXbot = .SIGMA. ( x ~ 3 ) 2 - 0 .SIGMA. x ~ 3 , ( 59 ) Conj
varXlef = .SIGMA. ( x ~ 4 ) 2 - 0 .SIGMA. x ~ 4 , ( 60 ) Conj
varYtop = .SIGMA. ( y ~ 1 ) 2 - 0 .SIGMA. y ~ 1 , ( 61 ) Conj
varYrit = .SIGMA. ( y ~ 2 ) 2 - 0 .SIGMA. y ~ 2 , ( 62 ) Conj
varYbot = .SIGMA. ( y ~ 3 ) 2 - 0 .SIGMA. y ~ 3 , ( 63 ) Conj
varYrit = .SIGMA. ( y ~ 4 ) 2 - 0 .SIGMA. y ~ 4 , ( 64 ) Conj
CorrXYtop = .SIGMA. x ~ 1 y ~ 1 .SIGMA. x ~ 1 - 1 , ( 65 ) Conj
CorrXYrit = .SIGMA. x ~ 2 y ~ 2 .SIGMA. x ~ 2 - 1 , ( 66 ) Conj
CorrXYbot = .SIGMA. x ~ 3 y ~ 3 .SIGMA. x ~ 3 - 1 , ( 67 ) Conj
CorrXYlef = .SIGMA. x ~ 4 y ~ 4 .SIGMA. x ~ 4 - 1 ( 68 )
##EQU00009##
or variance x ratio top/bottom (conjugacy), variance y ratio
top/bottom (conjugacy), variance x ratio left/right (conjugacy), or
variance y ratio left/right (conjugacy).
[0178] In some instances, one or more of the L height, L width, L
area, L varXrit, L varXlef, L varTotal, R height, R width, R area,
R varYtop, R varXrit, R varXlef, R varTotal, Conj varX, Conj
varXrit, Conj varXbot, Conj varXlef and Conj varYlef may be
especially useful for demonstrating or detecting or assessing
structural or non-structural traumatic brain injury such as, for
instance, a concussion, subconcussion or blast injury. In some
instances, two, three, four, five, six, seven, eight, nine, ten or
more metrics may be observed or determined.
[0179] A standard deviation or p value of 0.25, 0.3, 0.4, 0.5,
0.75. 0.8, 0.9, 1.0, 1.5, 2.0, 2.5 or more may reflect that a
subject has structural or non-structural traumatic brain injury
such as, for instance, a concussion, subconcussion or blast injury.
As such, the methods described herein may be used to detect
concussion and assess or determine the severity of the same.
[0180] In a twenty fourth aspect, the invention provides a kit
useful for detecting, screening for or quantitating structural and
non-structural traumatic brain injury in a subject, containing a
device for tracking eye movement, one or more means for analyzing
eye movement tracking data such as, for instance, an algorithm or
computer program, and instructions. Processing eye movement
observations, making measurements of eye movement observations,
determining distributions of values measured and performing
statistical tests may all be accomplished using suitable computer
software that may be included in such a kit.
[0181] In a twenty fifth aspect, the invention provides a computer
system. The computer system or computing device 1000 can be used to
implement a device that includes the processor 106 and the display
108, the eye movement/gaze tracker component 104, etc. The
computing system 1000 includes a bus 1005 or other communication
component for communicating information and a processor 1010 or
processing circuit coupled to the bus 1005 for processing
information. The computing system 1000 can also include one or more
processors 1010 or processing circuits coupled to the bus for
processing information. The computing system 1000 also includes
main memory 1015, such as a random access memory (RAM) or other
dynamic storage device, coupled to the bus 1005 for storing
information, and instructions to be executed by the processor 1010.
Main memory 1015 can also be used for storing position information,
temporary variables, or other intermediate information during
execution of instructions by the processor 1010. The computing
system 1000 may further include a read only memory (ROM) 1010 or
other static storage device coupled to the bus 1005 for storing
static information and instructions for the processor 1010. A
storage device 1025, such as a solid state device, magnetic disk or
optical disk, is coupled to the bus 1005 for persistently storing
information and instructions.
[0182] The computing system 1000 may be coupled via the bus 1005 to
a display 1035, such as a liquid crystal display, or active matrix
display, for displaying information to a user. An input device
1030, such as a keyboard including alphanumeric and other keys, may
be coupled to the bus 1005 for communicating information and
command selections to the processor 1010. In another
implementation, the input device 1030 has a touch screen display
1035. The input device 1030 can include a cursor control, such as a
mouse, a trackball, or cursor direction keys, for communicating
direction information and command selections to the processor 1010
and for controlling cursor movement on the display 1035.
[0183] According to various implementations, the processes
described herein can be implemented by the computing system 1000 in
response to the processor 1010 executing an arrangement of
instructions contained in main memory 1015. Such instructions can
be read into main memory 1015 from another computer-readable
medium, such as the storage device 1025. Execution of the
arrangement of instructions contained in main memory 1015 causes
the computing system 1000 to perform the illustrative processes
described herein. One or more processors in a multi-processing
arrangement may also be employed to execute the instructions
contained in main memory 1015. In alternative implementations,
hard-wired circuitry may be used in place of or in combination with
software instructions to effect illustrative implementations. Thus,
implementations are not limited to any specific combination of
hardware circuitry and software.
Eye Movement Tracking Device
[0184] According to the methods described, tracking eye movement
may be performed using any suitable device such as, for example, an
Eyelink.RTM. 1000 binocular eye tracker (500 Hz sampling, SR
Research). The eye tracking movement samples may be obtained at any
suitable frequency, such as for instance, 10 Hz to 10,000 Hz or
more. The subject may be positioned an appropriate distance from
the device, such as, for example, 10, 20, 30, 40, 50, 55, 60, 70,
80, 90 cm or more, or even a meter or more from the device screen.
In some instances, the subject's head may be stabilized, such as,
for instance by using a chinrest or similar stabilizing mechanism.
The subject may be seated or reclining. Preferably, the
presentation monitor of the device is adjusted so as to
substantially match the subject's gaze direction. The tracking eye
movement may be performed for a total of, for example, 30, 60, 90,
120, 150, 180, 200, 220, 240, 270, 300, 330, 360, 400, 450, 500
seconds or more, or for 5, 10, 15, 20, 25, 30, 45, 60, or 90
minutes or more. As such, according to the methods provided, 1,000,
5,000, 10,000, 20,000, 25,000, 50,000, 75,000, 100,000, 150,000,
200,000, 250,000, 300,000 or more samples of eye position may be
obtained. Similarly, the tracking eye movement may be performed
using a video oculography device, such as, for instance, goggles,
or using a web-cam based tracking system.
[0185] According to the methods described, analyzing eye movement
may be performed by any suitable means. In some instances, a
stimulus and an analysis stream are provided that allows
interpreting raw eye position data. In some instances, an algorithm
may be provided for looking at pupil position directly thereby
yielding information about ocular motility. Preferably, a device is
adapted into a novel mobile system that may analyze eye movement
close in time or substantially concurrent to the eye movement
itself.
Tracking Eye Movement in Response to a Moving or Visual
Stimulus
[0186] According to the methods described, eye movement may be
tracked in response to a visual stimulus. In some instances, the
visual stimulus may be, for instance, a video such as a music video
that may move, for instance clockwise, along the outer edge, of a
computer monitor. In some instances, such a video may be provided
starting at the upper or lower, left or right hand corners, of a
screen. The visual stimulus such as a video, e.g. a music video,
may be provided in a substantially square aperture with an area of
approximately 10, 12, 14, 16, 18, 20, 25, or degrees, for example,
approximately 1/10, 1/8, 1/6, 1/5, 1/4, 1/3, 1/2 of the size of the
screen or so. The visual stimulus, such as, for example a music
video, may play substantially continuously during the eye movement
tracking, and it may in some instances move across the screen at a
relatively or substantially constant speed. For instance, such a
visual stimulus, for instance, a music video may cover each edge of
a monitor in about 2, 5, 10, 15, 20, 30, 45 or 60 seconds or so.
Therefore, in some instances, a full cycle may take, for instance,
10, 20, 30, 40, 50, 60, 75, 100, 120, 150, 180 seconds or so.
Multiple cycles of such a visual stimulus, for instance a music
video may be played, for instance, one, two, three, four, five,
six, seven, eight, nine, ten, twelve, fifteen, twenty or more full
cycles. As such, the visual stimulus may be provided, the eye
movement may be tracked, in effect, in some instances the video may
be played for a total of, for example, 30, 60, 90, 120, 150, 180,
200, 220, 240, 270, 300, 330, 360, 400, 450, 500 seconds or more.
In instances where the visual stimulus is in the form of a video, a
countdown video may be played in the starting position for, for
instance, 5, 10, 15, 20, 25, or 30 seconds or more before beginning
the visual stimulus, e.g. video, to provide subjects sufficient
time to orient to the visual stimulus. Likewise, the visual
stimulus, for instance a video, may be continued for an addition 2,
5, 10, 15, 20, 30, 45 or 60 seconds or so after the eye movement
tracking is performed to reduce or substantially avoid boundary
effects. The same result could be obtained by having the visual
stimulus moving over any distance x relative to any amount of time
t. The ideal stimulus would move however in the both the x and y
Cartesian planes to optimize the assessment capability of the
method.
[0187] According to the methods described, comparing eye movement
of a first eye of the subject to eye movement of a second eye of
the subject, may be performed by analyzing data. Data from the
tracking eye movement may provide an indication of whether an
individual subject's gaze is conjugate (eyes are moving together)
versus disconjugate. Comparing eye movement of a first eye of the
subject to eye movement of a second eye of the subject may feature
generating scatterplots. Comparing eye movement of a first eye of
the subject to eye movement of a second eye of the subject, may
feature plotting the horizontal eye position along one axis and
vertical eye position along an orthogonal axis. Such comparing eye
movement of the subject to a control, or comparing eye movement of
a first eye of the subject to eye movement of a second eye of the
subject, may feature generating, plotting pairs of (x,y) values,
for instance, 50,000, 100,000 or more pairs of values (x,y). Such
pairs of values (x,y) may be plotted representing, for instance,
the two components of the instantaneous angle of pupil reflection
(horizontal, vertical) over a period of time, for instance, 100 or
200 seconds or more.
[0188] As such, comparing eye movement of a first eye of the
subject to eye movement of a second eye of the subject, may feature
generating figures substantially resembling boxes that reflect the
trajectory traveled by the visual stimulation, such as when it
moves across a screen. In healthy controls, these figures
substantially resembling boxes may look like, for instance,
substantially equilateral rectangles or squares, reflecting the
trajectory traveled by the visual stimulus across a screen. In
instances of neurological damage or increased intracranial
pressure, such figures may not substantially resemble a box, a
rectangle or a square. In fact, in some instances, the cranial
nerve having reduced or impaired function or conduction may be
identified. In some instances, the figures generated that reflect
the trajectory traveled by the visual stimulation may demonstrate
abnormal distribution of or absence of normal plotting pairs in
particular areas. Increased variability along the y-axis may for
example reflect cranial nerve II dysfunction. Decreased variability
along the y-axis, or decreased height to width ratio may reflect CN
III dysfunction. Increased height to width ratio may reflect CN IV
or VI dysfunction. The height of the box may be mathematically
determined by assessing the position of the pupil as the video
traverses the top and bottom of the presented visual stimulus. This
"actual" height may be different from the perceived height
mathematically, since the perceived height can represent aberrant
pupillary motion due to the patient's ocular motility dysfunction.
The integrity of the box walls may also be indicative of other
types of dysfunction. Both cranial nerve palsies and mass effect
may cause defects in box trajectory. Supratentorial mass lesions
and CN III defects may impact the top and/or bottom of the box.
Infratentorial mass lesions or CN VI palsies may impact the sides
of the box. For instance, in the case of the left eye, the upper
left quadrant of the figure may reflect activity, function or
conduction of cranial nerves III and VI, the lower left quadrant of
the figure may reflect activity, function or conduction of cranial
nerves III and IV, while the upper right quadrant and the lower
right quadrants may reflect activity, function or conduction of
cranial nerve III. In the case of the right eye, the upper and
lower left quadrants of the figure may reflect activity, function
or conduction of cranial nerve III, the lower right quadrant of the
figure may reflect activity, function or conduction of cranial
nerve III, while the upper right quadrant and the lower right
quadrant may reflect activity, function or conduction of cranial
nerves IV and VI.
[0189] Comparing eye movement of a first eye of the subject to eye
movement of a second eye of the subject, may feature determining
the distribution of certain measurements in the control population
and comparing the subject with these control distributions. In such
instances, visual stimulus trajectory may be divided into four time
components, for instance, two, three, four, five, six or more
repetitions of the first few, for instance, 2, 5, 10, 15, 20 or so
seconds of each rotation cycle. In such instances, comparing eye
movement of the subject to a control may feature evaluating such
variables as the relative variance in each arm, and the relative
integrity of each arm.
[0190] Comparing eye movement of the subject to a control, or
comparing eye movement of a first eye of the subject to eye
movement of a second eye of the subject, may also feature measuring
the integrity of each subject's values. In instances featuring
generating figures substantially resembling boxes that reflect the
trajectory traveled by the visual stimulation, such as when it
moves across a screen, the sides or arms of the figures (e.g. the
top of the box and the bottom of the box) may be z-scored using the
mean and standard deviation calculated from the control population.
The resulting score may indicate how different the subject's values
are compared with the control values, such as, for instance, in
units of standard deviations.
[0191] According to the methods described, identifying the subject
as having eye movement significantly different from the control, or
identifying the subject as having eye movement of a first eye that
is significantly different from eye movement of a second eye, may
be performed using a z-score. Because 95% of all values in a normal
distribution lie within two standard deviations of the mean, a
z-score of 2 may be used as a significance threshold. Subjects with
z-scores above, for instance, 2 in either or both, or 1, 2, 3, or 4
sides or arms of the figures may be judged to have significant
disturbances of ocular motility. Similarly, identifying the subject
as having eye movement significantly different from the control, or
identifying the subject as having eye movement of a first eye that
is significantly different from eye movement of a second eye, may
be performed by assessing whether it has or there is a difference
that exceeds a predetermined threshold.
[0192] Identifying the subject as having eye movement significantly
different from the control, or identifying the subject as having
eye movement of a first eye that is significantly different from
eye movement of a second eye, may feature determining relative
variance. In some instances, multiple such as 1,000, 2,000, 3,000,
5,000, 10,000, 20,000 or more point distributions may be generated
by, for instance, taking multiple samples from a multiple number of
values randomly chosen with replacement from the multiple control
values. For each subject, the relative variance in either or both,
or 1, 2, 3, or 4 sides or arms of the figures may be compared
respectively with the corresponding control distribution, and the
percent of the control distribution with variance below that of the
test value may be determined. A p-value of 0.05 a widely accepted
measure of statistical significance corresponds to 95% of control
values falling below the test value. In such instances, subjects
with variance higher than 95% of the values in the control
distributions may be determined to have significant disturbances of
ocular motility. The video may also move in other trajectories not
resembling a rectangle, such as a triangle, circle or linear or
nonlinear trajectories. As long as the trajectories can be resolved
into vectors along Cartesian coordinates (horizontal vertical or
x,y) the same principles will apply. In short, any trajectory (e.g.
any shape, or line, or curve, etc.) studied over time may provide
information about Central Nervous System function or
dysfunction.
[0193] Comparing the movement of one eye of a subject to the other
eye of a subject may be performed by comparing the x,y Cartesian
coordinates at any time point t, for example, by subtracting the x
coordinate of the left eye from the x coordinate of the right eye
or vice versa, or by subtracting the y coordinate of the left eye
from the y coordinate of the right eye or vice versa. The sums of
the differences between all of the x coordinates over the time
tested informs regarding horizontal movement of the pupil. The sums
of the differences in y coordinates over time informs regarding
vertical movement of the pupil. The total sum of the differences
between both x and y coordinates over the time tested may be
totaled to obtain a measure of total disconjugacy of gaze, which is
a surrogate marker for central nervous system integrity. In such a
way, it is possible to quantitate the extent of central nervous
system (CNS) integrity by quantitating the extent of disconjugate
gaze.
Eye Movement Tracking without a Moving or Visual Stimulus
[0194] Eye movement may also be tracked without using a moving
stimulus. It is possible to assess conjugacy without having the
stimulus move at all, but by assessing the x, y coordinates over
times during naturalistic viewing. For example, eye movement may be
tracked during television watching or live viewing of an
environment without a specific viewing apparatus such as a monitor
or screen.
[0195] According to the methods described, comparing the x or y
Cartesian coordinates at any time point for the eye movement of a
first eye of the subject to the respective x or y Cartesian
coordinates at any time point for the eye movement of a second eye
of the subject, may be performed by analyzing data. Data from the
tracking eye movement may provide an indication of whether an
individual subject's gaze is conjugate (eyes are moving together)
versus disconjugate. Comparing the x or y Cartesian coordinates at
any time point for the eye movement of a first eye of the subject
to the respective x or y Cartesian coordinates at any time point
for the eye movement of a second eye of the subject, may feature
generating scatterplots. Comparing the x or y Cartesian coordinates
at any time point for the eye movement of a first eye of the
subject to the respective x or y Cartesian coordinates at any time
point for the eye movement of a second eye of the subject, may
feature plotting the difference between the horizontal eye
positions along one axis and time along an orthogonal axis, as well
as the difference between the vertical eye positions along one axis
and time along an orthogonal axis. Such comparing the x or y
Cartesian coordinates at any time point for the eye movement of a
first eye of the subject to the respective x or y Cartesian
coordinates at any time point for the eye movement of a second eye
of the subject, may feature generating, plotting pairs of (x, y)
values, for instance, 25,000, 50,000, 75,000, 100,000, 150,000 or
more pairs of values (x, y). Such pairs of values (x, y) may be
plotted representing, for instance, the two components of the
instantaneous angle of pupil reflection (horizontal, vertical) over
a period of time, for instance, 100 or 200 or 250 or 300 seconds or
more.
[0196] As such, comparing the x or y Cartesian coordinates at any
time point for the eye movement of a first eye of the subject to
the respective x or y Cartesian coordinates at the time point for
the eye movement of a second eye of the subject, may allow
generating plots assessing conjugacy of eye movements over
time.
[0197] Comparing the x or y Cartesian coordinates at any time point
for the eye movement of a first eye of the subject to the
respective x or y Cartesian coordinates at the time point for the
eye movement of a second eye of the subject, may feature
determining the distribution of certain measurements in the control
population and comparing the subject with these control
distributions. In such instances, visual stimulus trajectory may be
divided into four time components, for instance, two, three, four,
five, six or more repetitions of the first few, for instance, 2, 5,
10, 15, 20 or so seconds of each rotation cycle. In such instances,
comparing the x or y Cartesian coordinates at any time point for
the eye movement of a first eye of the subject to the respective x
or y Cartesian coordinates at any time point for the eye movement
of a second eye of the subject may feature evaluating such
variables as the relative variance in each arm, and the relative
integrity of each arm.
[0198] Comparing the x or y Cartesian coordinates at any time point
for the eye movement of a first eye of the subject to the
respective x or y Cartesian coordinates at the time point for the
eye movement of a second eye of the subject may be performed by
comparing the x, y Cartesian coordinates at any time point t, for
example, by subtracting the x coordinate of the left eye from the x
coordinate of the right eye or vice versa, or by subtracting the y
coordinate of the left eye from the y coordinate of the right eye
or vice versa. The sums of the differences between all of the x
coordinates over the time tested informs regarding horizontal
movement of the pupil. The sums of the differences in y coordinates
over time informs regarding vertical movement of the pupil. The
total sum of the differences between both x and y coordinates over
the time tested may be totaled to obtain a measure of total
disconjugacy of gaze, which may be a surrogate marker for central
nervous system integrity. In such a way, it is possible to
quantitate the extent of central nervous system (CNS) integrity by
quantitating the extent of disconjugate gaze.
[0199] Providing a sum of the differences between all of the x
coordinates of the first eye compared to the second eye over the
time tested or providing a sum of the differences in y coordinates
of the first eye compared to the second eye over the time tested or
both may be performed subsequent to comparing the x, y Cartesian
coordinates at the time point t. For example, by subtracting the x
coordinate of the left eye from the x coordinate of the right eye
or vice versa. Also, by subtracting the y coordinate of the left
eye from the y coordinate of the right eye or vice versa. The sums
of the differences between all of the x coordinates over the time
tested informs regarding horizontal movement of the pupil. The sums
of the differences in y coordinates over time informs regarding
vertical movement of the pupil. The total sum of the differences
between both x and y coordinates over the time tested can be summed
to obtain a measure of total disconjugacy of gaze, or as an average
of five eyebox trajectory cycles formulaically represented as
follows:
X Avg , ik = .SIGMA. j = 1 5 X ijk 5 , for all i = 1 : N , k = 1 :
2 , ##EQU00010##
where X.sub.ijk refers to the x-coordinate of the pupil, and k
refers to the left or right eye of a subject. In cases where a
subject's data was missing at any given time point in the five
cycles, the denominator of the equation was the number of cycles
where the data was present. The difference in the x and y position,
for the left and right eye, may then be computed. This vector of
difference may then be plotted graphically for purposes of
assessment and interpretation. To have a single metric expressing
the level of pupil disconjugation, a variance of the data may be
computed with respect to an expected mean of zero. This is
significant because the code assumes that a healthy subject has
zero vertical or horizontal pupil position difference between each
eye. The variance for either horizontal (x) or vertical (substitute
y for x) movement may be computed as follows:
Var x = 1 N i = 1 N ( ( X avg , i 1 - X avg , i 2 ) - 0 ) 2
##EQU00011##
[0200] Providing a total sum of the differences between both x and
y coordinates of the first eye compared to the second eye over the
time tested may be performed by calculating the total variance in
both the horizontal and vertical planes between the first and the
second eyes. The total variance may be computed as follows:
Var.sub.Tot=Var.sub.x+Var.sub.y.
[0201] In some instances, the Var.sub.x or the Var.sub.y or both,
calculated as described herein, may be 0.05, 0.07, 0.1, 0.15, 0.20,
0.25, 0.30, 0.40, 0.50, 0.60, 0.75, 0.90, 1.0, 1.10, 1.25, 1.50,
1.75, or 2.0 or more. Similarly, in some instances, the Var.sub.Tot
calculated as described herein, may be 0.1, 0.15, 0.20, 0.25, 0.30,
0.40, 0.50, 0.60, 0.75, 0.90, 1.0, 1.10, 1.25, 1.50, 1.75, 2.0,
2.50, 3.0 or 4.0 or more, in subjects having a neurological disease
or condition characterized by or featuring disconjugacy of gaze or
strabismus.
BRIEF DESCRIPTION OF THE FIGURES
[0202] FIGS. 1A and 1B demonstrates that as the aperture containing
a video moves in a rectangular pattern, different nerves move the
pupils. FIG. 1A demonstrates movement of the left eye, and FIG. 1B
demonstrates movement of the right eye. Cranial nerve III moves the
pupil up and down. Cranial nerve VI moves it laterally. This data
was obtained on a monocular eye tracker with sequential tracking of
each eye. The video goes around five times with each tracking
recorded in a separate color (red, green, cyan, magenta, blue).
[0203] FIGS. 2 A and 2B represent the eye-box trajectory of a
normal subject tracked binocularly (FIG. 2A, left eye; FIG. 2B
right eye). Note that the eyes appear to be moving relatively the
same, with some differences. FIGS. 2 C and 2D are time-course
representations (FIG. 2C, left eye; FIG. 2D right eye), in which
the x-axis is the Cartesian coordinate of the eye position and the
y-axis is time.
[0204] FIG. 3A-3D demonstrates the binocular eye tracking of a
subject who underwent surgical evacuation of an acute on chronic
subdural hematoma. FIGS. 3A and 3B represent eye-box trajectories
(FIG. 3A, left eye; FIG. 3B right eye). FIGS. 3C and 3D are
time-course representations (FIG. 3C, left eye; FIG. 3D right eye),
in which the x-axis is the Cartesian coordinate of the eye position
and the y-axis is time. The eyes are not as conjugate as the
subject in FIG. 2.
[0205] FIG. 4A-4D demonstrates the binocular eye movement tracking
of a subject with a mild IIIrd nerve palsy recruited from the
ophthalmology clinic. The subject reported increased lacrimation
but no diplopia. FIGS. 4A and 4B represent eye-box trajectories
(FIG. 4A, left eye; FIG. 4B right eye). FIGS. 4C and 4D are
time-course representations (FIG. 4C, left eye; FIG. 4D right eye),
in which the x-axis is the Cartesian coordinate of the eye position
and the y-axis is time. The eyes are not as conjugate as the
subject in FIG. 2 in the x-plane but are completely disconjugate in
the y-plane. The eye tracking anomaly appears contralateral to the
ocular pathology.
[0206] FIG. 5A-5D demonstrates the binocular tracking of a subject
with concussion. The subject experienced a witnessed fall with
blunt head trauma while attending a clinic in the hospital. FIGS.
5A and 5B represent eye-box trajectories (FIG. 5A, left eye; FIG.
5B right eye). FIGS. 5C and 5D are time-course representations
(FIG. 5C, left eye; FIG. 5D right eye), in which the x-axis is the
Cartesian coordinate of die eye position and the y-axis is time.
The subject was unable to watch much of the video, but for the
little that he did watch, his y, more so than his x, was
disconjugate. His head computed tomography scan did not show any
evidence of acute structural injury. The eye tracking is thus
showing concussion (radiographically silent) brain injury.
[0207] FIG. 6A-6H demonstrates that binocular eye movement tracking
may be useful to quantitate the extent of physiologic brain injury.
The eye box trajectory from a normal subject shows highly conjugate
gaze (FIG. 6A, x-plane; FIG. 6B y-plane). A subject with third
nerve palsy shows only diconjugacy in the y-plane (FIG. 6E,
x-plane; FIG. 6F y-plane). A subject with structural brain injury
has disconjugacy in both x and y planes (FIG. 6G, x-plane; FIG. 6H
y-plane), as does a concussion subject (FIG. 6C, x-plane; FIG. 6D
y-plane).
[0208] FIG. 7 represents total conjugacy versus age. Normal
subjects demonstrated conjugate eye movement that was not impacted
by age. A linear regression t-test was used to determine whether
the slope of the relationship between total variance and age
yielded a regression line statistically significantly different
from 0. The test resulted in a t-statistic of -0.523 and a p-value
of 0.6017 showing that the slope of the regression line was not
statistically significantly different from 0. Thus in our subject
population ranging in age from 7 to 75, there was no change in
conjugacy of eye movements with age.
[0209] FIG. 8 represents male versus female conjugacy of eye
movements. Normal subjects demonstrated conjugate eye movement that
was not impacted by gender. A Welch Two Sample t-test with 68.49
degrees of freedom resulted in a t-statistic of 0.6734 and a
p-value of 0.5029 showing that the difference in the means was not
statistically significantly different from 0.
[0210] FIG. 9 represents X (horizontal) versus Y (vertical)
conjugacy. Normal subjects demonstrated horizontal eye movement
that was statistically highly significantly more conjugate than
vertical eye movement. A paired t-test was used to determine if the
mean of the subject-paired differences between the total x-variance
and total y-variance was statistically significantly different from
0. With 124 degrees of freedom, the test resulted in a t-statistic
of -3.0263 and a p-value of 0.003011 showing that the mean of the
subject-paired differences was statistically highly significantly
different from 0. Specifically, it was shown that for a particular
subject, x-variance is statistically significantly less than
y-variance.
[0211] FIG. 10 demonstrates the test-retest reliability of a
stationary to stationary tracker. Subjects (n=27) demonstrated high
test-retest reliability between two separate eyetracking sessions
on the stationary tracker. A paired t-test was used to determine if
the mean of the subject-paired differences between the total
variances for two separate eyetracking sessions was statistically
significantly different from 0. With 26 degrees of freedom, the
test resulted in a t-statistic of 1.2778 and a p-value of 0.2126
showing that the mean of the subject-paired differences was not
statistically significantly different from 0.
[0212] FIG. 11 demonstrates the test retest reliability of a
stationary to portable tracker. Subjects (n=24) demonstrated high
test-retest reliability between separate eyetracking sessions on
the stationary tracker and the portable tracker (FIG. 10). A paired
t-test with 23 degrees of freedom (n=24), resulted in a t-statistic
of 1.3661 and a p-value of 0.1851 showing that the mean of the
subject-paired differences was not statistically significantly
different from 0.
[0213] FIG. 12A-12P provides the eye movement tracking trajectories
of subjects with cranial nerve IV, III and VI palsies.
[0214] FIG. 13 is a block diagram of a computer system in
accordance with an illustrative implementation.
[0215] FIG. 14 is a schematic diagram showing a configuration of
how a subject's eye movements are measured, analyzed and displayed
by such a computer system.
[0216] FIG. 15A-15F provides a representation of the binocular eye
movement tracking of a normal subject. FIG. 15A, 15B provide box
plots of eye movement in response to a moving stimulus. The aspect
ratio for each eye is provided. FIG. 15C, 15D provide graphic
representation of the eye movement tracking for each eye over time.
FIG. 15E, 15F provide graphical representation of the variance in
x-axis movement between the left and right eye and the variance in
y-axis movement between the left and right eye. Total variance of x
and y coordinates of eye movement over time is provided.
[0217] FIG. 16A-16L provides a representation of the eye movement
of a patient with conjunctivitis due to a blocked lacrimal duct.
FIG. 16A, 16B provide box plots of eye movement. The aspect ratio
for each eye is provided. FIG. 16C, 16D provide graphic
representation of the eye movement tracking for each eye over time.
FIG. 16E, 16F provide graphical representation of the variance in
x-axis movement between the left and right eye and the variance in
y-axis movement between the left and right eye. Total variance of x
and y coordinates of eye movement over time is provided. The same
information is provided after resolution of symptoms. FIG. 16G, 16H
provide box plots of eye movement. The aspect ratio for each eye is
provided. FIG. 16I, 16J provide graphic representation of the eye
movement tracking for each eye over time. FIG. 16K, 16L provide
graphical representation of the variance in x-axis movement between
the left and right eye and the variance in y-axis movement between
the left and right eye. Total variance of x and y coordinates of
eye movement over time is provided. Total variance (disconjugacy)
is markedly improved after resolution of symptoms.
[0218] FIG. 17A-17F provides a representation of the eye movement
of a 9 year old patient with a history of lymphoma and exotrophic
strabismus. FIG. 17A, 17B provide box plots of eye movement. The
aspect ratio for each eye is provided. FIG. 17C, 17D provide
graphic representation of the eye movement tracking for each eye
over time. FIG. 18E, 18F provide graphical representation of the
variance in x-axis movement between the left and right eye and the
variance in y-axis movement between the left and right eye. Total
variance of x and y coordinates of eye movement over time is
provided.
[0219] FIG. 18A-18L provides a representation of the eye movement
of subjects with cranial nerve palsies. FIG. 18A, 18B provide box
plots of eye movement in a patient having a cranial nerve IV palsy.
The aspect ratio for each eye is provided. FIG. 18C, 18D provide
graphical representation of the variance in x-axis movement between
the left and right eye and the variance in y-axis movement between
the left and right eye. Total variance of x and y coordinates of
eye movement over time is provided. FIG. 18E, 18F provide box plots
of eye movement in a patient having a diabetic cranial nerve III
palsy. The aspect ratio for each eye is provided. FIG. 18G, 18H
provide graphical representation of variance over time. FIG. 18I,
18J provide box plots of eye movement in a patient having a
post-surgical cranial nerve VI palsy. The aspect ratio for each eye
is provided. FIG. 18K, 18L provide graphical representation of
variance over time.
[0220] FIG. 19A-19L provides a representation of the eye movement
of a 35 year old patient with a ruptured cerebral aneurysm
resulting in subarachnoid hemorrhage. FIG. 19A, 19B provide box
plots of eye movement. The aspect ratio for each eye is provided.
FIG. 19C, 19D provide graphic representation of the eye movement
tracking for each eye over time. FIG. 19E, 19F provide graphical
representation of variance over time. The total variance of x and y
coordinates is provided. FIG. 19G, 19H provide box plots of eye
movement in the patient 6 days later, after embolization of the
aneurysm. The aspect ratio for each eye is provided. FIG. 19I, 19J
provide graphic representation of the eye movement tracking for
each eye over time. FIG. 19K, 19L provide graphical representation
of the variance in x-axis movement between the left and right eye
and the variance in y-axis movement between the left and right eye.
Total variance of x and y coordinates of eye movement over time is
provided.
[0221] FIG. 20A-20F provides a representation of the eye movement
of a brain injured subject. FIG. 20A, 20B provide box plots of eye
movement. The aspect ratio for each eye is provided. FIG. 20C, 20D
provide graphic representation of the eye movement tracking for
each eye over time. FIG. 20E, 20F provide graphical representation
of the variance in x-axis movement between the left and right eye
and the variance in y-axis movement between the left and right eye.
Total variance of x and y coordinates of eye movement over time is
provided.
[0222] FIG. 21A-21F provides a representation of the eye movement
of a subject suffering a concussion. FIG. 21A, 21B provide box
plots of eye movement. The aspect ratio for each eye is provided.
FIG. 21C, 21D provide graphic representation of the eye movement
tracking for each eye over time. FIG. 21E, 21F provide graphical
representation of variance over time. The total variance of x and y
coordinates is provided.
[0223] FIG. 22A-22L provides a representation of the eye movement
of a subject suffering a concussion. FIG. 22A, 22B provide box
plots of eye movement on the day of the fall resulting in the
concussion. The aspect ratio for each eye is provided. FIG. 22C,
22D provide graphic representation of the eye movement tracking for
each eye over time. Disconjugacy is calculated or quantified. FIG.
22E, 22F provide box plots of eye movement ten days after the fall
resulting in the concussion. The aspect ratio for each eye is
provided. FIG. 22G, 22H provide graphical representation of the
variance in x-axis movement between the left and right eye and the
variance in y-axis movement between the left and right eye. Total
variance of x and y coordinates of eye movement over time is
provided. Disconjugacy is calculated or quantified. FIG. 22I, 22J
provide box plots of eye movement three weeks after the fall
resulting in the concussion. The aspect ratio for each eye is
provided. FIG. 22K, 22L provide graphic representation of the eye
movement tracking for each eye over time. Disconjugacy is
calculated or quantified.
[0224] FIG. 23A-23Q provides a representation of the disconjugate
gaze in a subject suffering a severed cranial nerve III. FIG.
23A-23N provide box plots of eye movement tracking (left and right
eyes). The aspect ratio for each eye is provided. FIG. 23O, 23P,
23Q provide graphic representation of the eye movement tracking for
each eye over time demonstrating the variance in x-axis movement
between the left and right eye and the variance in y-axis movement
between the left and right eye.
[0225] FIG. 24A-24Q provides a representation of the conjugate gaze
in a normal subject while watching television. FIG. 24A-24N provide
box plots of eye movement tracking (left and right eyes). The
aspect ratio for each eye is provided. FIG. 24O, 24P, 24Q provide
graphic representation of the eye movement tracking for each eye
over time demonstrating the variance in x-axis movement between the
left and right eye and the variance in y-axis movement between the
left and right eye. Conjugacy is calculated or quantified at
0.0169.
[0226] FIG. 25A-25Q provides a representation of the disconjugate
gaze in a subject with a surgically severed cranial nerve III. FIG.
25A-25N provide box plots of eye movement tracking (left and right
eyes). The aspect ratio for each eye is provided. FIG. 25O, 25P,
25Q provide graphic representation of the eye movement tracking for
each eye over time demonstrating the variance in x-axis movement
between the left and right eye and the variance in y-axis movement
between the left and right eye. Disconjugacy is calculated or
quantified at 2.2711.
[0227] FIG. 26A-26C represents findings from a 38 year old
right-handed male recruited from the emergency room after being hit
by a car while riding his bicycle. The patient was brought in with
a backboard and C-collar, intoxicated with reported loss of
consciousness and normal vitals but intermittent confusion with
retrograde amnesia. On physical examination he was alert and
oriented x3, had a right eye hematoma and a posterior vertex soft
tissue hematoma. He had active bleeding over a 5 cm vertical
laceration overlying the left maxilla. FIG. 26A. Head CT findings
include bilateral parafalcine posterior vertex subdural hematomas
measuring up to 8 mm in thickness. There were multiple
punctuate-subcentimeter bifrontal contusions, right greater than
left. There was a 4 mm left parafalcine subdural hematoma. He had
no significant ophthalmic history following his last optometric
visit 10 years prior. No other major body injuries. Quantitative
serum alcohol level was 130 mg/dl. Medications administered up to
24 hours prior to recruitment included acetaminophen 325 mg,
bacitracin, moxifloxacin hydrochloride. FIG. 26B. Represents eye
movement tracking box plots 2 days after triage. The patient was
positive for 12/22 symptoms according to SCAT3 with a severity
score of 45/132 and GCS score of 13/15. Total SAC score of 17/30.
FIG. 26C. Represent eye movement tracking box plots 13 days after
triage. The patient was positive for 10/22 symptoms according to
SCAT3 with a severity score of 27/132 and GCS score of 15/15. Total
SAC score of 24/30. Medications administered up to 24 hours prior
to eye tracking included ibuprofen.
[0228] FIG. 27A-27C represents findings from a 37 year old
right-handed female. The patient fell 2 weeks prior to seeking
medical care. She denied loss of consciousness at the time. After
taking aspirin, she developed word finding difficulty 4 days prior
to admission. She presented to the emergency room where her
examination was otherwise non-focal. FIG. 27A. The head CT showed a
mixed attenuation predominantly hyperdense subdural fluid
collection over the left cerebral convexity measuring up to 1.7 cm
in thickness with associated mass effect upon the left lateral
ventricle and 7 mm left to right midline shift of the septum
pellucidum. The patient underwent craniotomy and was recruited for
the study from NSICU on the third postoperative day. She denied
word finding difficulty and was neurologically non-focal at the
time of recruitment and reported no ophthalmic history. Medications
administered up to 24 hours prior to recruitment included Keppra,
Ancef, Nexium, Heparin, Acetaminophen, Zofran. There were no drugs
or alcohol reported for the past 24 hours. FIG. 27B. Represents eye
movement tracking box plots 3 days post operatively and 17 days
post injury patient. The patient was positive for 6/22 symptoms
according to SCAT3 with a severity score of 17/132 and GCS score of
15/15. Total SAC score of 18/30. FIG. 27C. Represents eye movement
tracking box plots at 35 days post surgery and 49 days post injury.
The patient was positive for 13/22 symptoms according to SCAT3 with
a severity score of 32/132 and GCS score of 15/15. Total SAC score
of 27/30. No medications, drugs or alcohol 24 hours prior.
[0229] FIG. 28A-28D represents findings from a 22 year old
right-handed male recruited from the emergency room who was
participating in a skateboard competition and experienced a fall
from 10-15 feet landing on his unhelmeted head. He lost
consciousness for approximately 30 minutes and then was agitated,
confused and amnestic for the event. His trauma bay GCS was 15 and
he had a moderate sized left scalp hematoma on physical
examination. FIG. 28A. His head CT findings included a comminuted
minimally displaced fracture of the left occipitoparietal bone with
extension to the anterior aspect of the left temporal bone. There
was also a small underlying left subdural hematoma with
pneumocephalus. There was partial opacification of the left mastoid
air cells, and a non-displaced fracture through the tympanic roof
could not be completely excluded. He had no significant ophthalmic
history other than eye pressure at the time of recruitment, and his
last optometric visit was a year prior. His cranial trauma history
included that 1.5 years ago he fell with loss of consciousness.
Medications administered up to 24 hours prior to recruitment
included levetiracetam 500 mg/100, 0.82% NaCl Premix, Ondansetron 4
mg/50 mL, Acetaminophen 325 mg. FIG. 28B. Represents eye movement
tracking box plots 1 day after injury. The patient was positive for
13/22 SCAT3 symptoms with a severity score of 62/132 and GCS score
of 14/15. The total SAC score was 19/30. FIG. 28C. Represents eye
movement tracking box plots 12 days after injury. The patient was
positive for 19/22 SCAT3 symptoms with a severity score of 81/132
and GCS score of 15/15. The total SAC score was 17/30. FIG. 28D.
Represents eye movement tracking box plots 66 days after injury.
The patient was positive for 19/22 SCAT3 symptoms with a severity
score of 69/132 and GCS score of 15/15. The total SAC score was
24/30. No medications, drugs or alcohol were consumed in the 24
hours prior to tracking on any occasion.
[0230] FIG. 29A-29D represents the findings from a 23 year old
right-handed male who fell from height of 30 feet. The Patient was
awake, alert and hypotensive in the field, GCS 14. He reported
diffuse pain including in head, no vomiting. The neurological
examination was non-focal, but the patient was intubated for chest
and pelvis injuries. He had no ophthalmic history other than an
optometric visit 6 months prior. He wears corrective lenses for
astigmatism and reports a learning disability. Medications
administered within 24 hours prior to eye tracking included
albuterol, vancomycin hydrochloride, piperacilin tazobactam,
aztreonam, pentacel. FIG. 29A. Represents eye movement tracking box
plots 8 days after injury. No SCAT was performed initially. FIG.
29B. Represents eye movement tracking box plots 16 days after
injury. The patient was positive for 16/22 SCAT3 symptoms with a
severity score of 18/132 and GCS of 15/15. Total SAC score of
22/30. FIG. 29C. Represents eye movement tracking box plots 34 days
after injury. The patient was positive for 10/22 SCAT3 symptoms
with a severity score of 27/132 and GCS of 15/15. Total SAC score
of 22/30. FIG. 29D. Represents eye movement tracking box plots 75
days after injury. The patient was positive for 13/22 SCAT3
symptoms with a severity score of 39/132 and GCS of 15/15. Total
SAC score of 26/30.
[0231] FIG. 30A-30B represents the findings from a 47 year old
right-handed male recruited from the emergency room. The patient
was inebriated and crashed his bicycle into a parked truck. He was
unhelmeted. He vomited and then became unresponsive. Upon arrival,
he was intubated, GCS 3T. Radiograph revealed a broken clavicle.
Quantitative serum alcohol level was 284 mg/dl. He had no
ophthalmic history following an optometric visit many years ago.
Upon recruitment 24 hours later the patient was extubated, alert
and oriented x3. Medications administered up to 24 hours prior to
recruitment included claritin and hydrocodone-acetaminophen,
lidocaine, etomidate, and succinylcholine. FIG. 30A. Represents eye
movement tracking box plots a few hours after triage. The patient
was positive for 14/22 SCAT3 symptoms with a severity score of
72/132 and GCS score of 15/15. His total SAC score was 19/30. He
reported feeling severely worse than baseline. FIG. 30B. Represents
eye movement tracking box plots at 92 days post triage. The patient
was positive for 10/22 SCAT3 symptoms with a severity score of
40/132 and GCS score of 15/15. His total SAC score was 21/30.
[0232] FIG. 31A-31D represents the findings from a 53 year old
right-handed female recruited from the ER after falling on the
street down bus steps, impacting her face. She denied loss of
conscious or amnesia and presented immobilized with cervical
collar. On examination she had a lip laceration. She had a medical
history significant for migraines and bitemporal hemianopsia due to
benign pituitary adenoma. Head CT showed moderate multifocal white
matter disease to right putamen, posteriorly in the right caudate
head and left frontal corona radiate, maybe ischemic in origin, and
bilateral proptosis. Her last optometric visit was one month prior
to recruitment, and she wears corrective lenses and bifocal contact
in right eye. Medications administered up to 24 hours prior to
recruitment included diovan, lidocaine, hydrochloide 600 mg,
acetaminphen 650 mg, vitamins, and tylenol. FIG. 31A. Represents
eye movement tracking box plots a few hours after triage. The
patient was positive for 16/22 SCAT3 symptoms with a severity score
of 40/132 and GCS score of 15/15. The total SAC score was 23/30.
FIG. 31B. Represents eye movement tracking box plots at 10 days
post injury. The patient was positive for 4/22 SCAT3 symptoms with
a severity score of 17/132 and GCS score of 15/15. The total SAC
score was 20/30. FIG. 31C. Represents eye movement tracking box
plots 17 days post injury. FIG. 31D. Represents eye movement
tracking box plots at 113 days post injury. The patient was
positive for 16/22 SCAT3 symptoms with a severity score of 48/132
and GCS score of 15/15. The total SAC score was 27/30.
[0233] FIG. 32 represents graphically that while MRI and CT can
detect structural traumatic brain injury (TBI), eye tracking can
detect physiologic disruption of cerebral function.
DETAILED DESCRIPTION OF THE INVENTION
[0234] Before the present methods are described, it is to be
understood that this invention is not limited to particular methods
and experimental conditions described, as such methods and
conditions may vary. It is also to be understood that the
terminology used herein is for purposes of describing particular
embodiments only, and is not intended to be limiting, since the
scope of the present invention will be limited only by the appended
claims. As used in this specification and the appended claims, the
singular forms "a", "an", and "the" include plural references
unless the context clearly dictates otherwise. Thus, for example,
references to "the method" includes one or more methods, and/or
steps of the type described herein and/or which will become
apparent to those persons skilled in the art upon reading this
disclosure and so forth in their entirety.
[0235] Unless defined otherwise, all technical and scientific terms
used herein have the same meaning as commonly understood by one of
ordinary skill in the art to which this invention belongs. Although
any methods and materials similar or equivalent to those described
herein can be used in the practice or testing of the invention, the
preferred methods and materials are now described. All publications
mentioned herein are incorporated herein by reference I their
entireties.
Definitions
[0236] The terms used herein have the meanings recognized and known
to those of skill in the art, however, for convenience and
completeness, particular terms and their meanings are set forth
below.
[0237] "Subject" or "patient" refers to a mammal, preferably a
human, in need of or undergoing treatment or screening for a
condition, disorder or disease such as, for instance, increased
intracranial pressure.
[0238] By "assessing central nervous system integrity" is meant
identifying one or more symptoms that may indicate a pathology of
or affecting the central nervous system, or identifying, assessing,
quantifying or diagnosing a pathology of the central nervous
system. The pathology may be, for instance, one or more of
increased intracranial pressure, hydrocephalus, concussion,
dementia, schizophrenia, amyotrophic lateral sclerosis, muscular
sclerosis, autism and Fragile X disease.
[0239] By "localizing a central nervous system lesion" is meant in
some instances determining information that may predict a likely
position of a lesion, for instance, determining the side of the
body, for instance, left or right, where a lesion may likely be
located within the central nervous system. In other instances,
"localizing a central nervous system lesion" may mean determining a
particular fossa or compartment, such as, for instance, a fascia
compartment or brain ventricle in which a lesion is likely located
within the central nervous system.
[0240] By "having eye movement of a first eye that is significantly
different from eye movement of a second eye" is meant displaying
eye movement in a first eye over 5, 10, 25, 50, 100, 1,000, 5,000,
10,000 or more observations, tracked with at least x, y coordinate
positions, that is at least 5%, 10%, 15%, 20%, 25%, 30%, 40%, 50%,
75%, or 100% or more variant compared to the corresponding eye
movement observations tracked from the second eye. The 5%, 10%,
15%, 20%, 25%, 30%, 40%, 50%, 75%, or 100% or more variant may be
calculated or observed either numerically or graphically.
Alternatively, "having eye movement of a first eye that is
significantly different from eye movement of a second eye" is meant
displaying eye movement in a first eye over 5, 10, 25, 50, 100,
1,000, 5,000, 10,000 or more observations, tracked with at least x,
y coordinate positions, that, when graphically displayed in a
scatterplot as described herein, is at least 5.degree., 10.degree.,
15.degree., 20.degree., 25.degree., 30.degree., 40.degree.,
50.degree., 60.degree., 75.degree. or 90.degree. or more variant
compared to the corresponding eye movement observations tracked and
graphically displayed on a scatterplot as described herein from the
second eye.
[0241] By "vergence" or "vergence disorders" refers generally to
convergence, when the eyes rotate inward as an object moves closer,
and to divergence, when the eyes rotate outward as an object moves
farther away. Both convergence and divergence are tested to some
extent as an object moves around, effectively assessing sustained
vergence. Most vergence disorders are due to the pathologies and
causes described herein, for instance, trauma. Some vergence
disorders may be congenital. The methods and algorithms described
herein facilitate screening for such vergence and vergence
disorders.
Elevated Intracranial Pressure
[0242] The methods described herein are distinct from conventional
methods. As applied to determining intracranial pressure, a
conventional ICP monitor determines the brain's pressure number in
one spot, an O.sub.2 monitor determines an oxygenation number in
one spot, imaging reveals what the brain looks like, but the
methods described herein provide methods for testing for
physiologic function of the cranial nerves that may reflect factors
that may delay axoplasmic transport such as elevated intracranial
pressure.
[0243] The methods described herein may be used to detect elevated
intracranial pressure and assess or determine the severity of the
same. Similarly, the methods described herein may be used to
localize the intracranial cause of such intracranial pressure and
to monitor progression of lesions or diffuse processes within the
cranium. Likewise, the methods described herein may be used to
detect concussion and assess or determine the severity of the
same.
[0244] The methods described herein provide high sensitivity. No
patient yet evaluated with an abnormal physical exam or films
consistent with elevated ICP has had normal eye movement tracking.
The methods described herein may be used to reduce the need for CT
scans among potential shunt malfunction patients, patients with
lesions causing elevated intracranial pressure, and may be used to
screen patient populations such as emergency room ER populations,
sports participants, soldiers or other combatants, nursing home
residents or other populations at risk for falling for elevated
intracranial pressure or concussion.
[0245] High resolution automated eye movement tracking, occurring
over, for instance, about 220 seconds, is a powerful tool for
detecting subclinically apparent ocular motility dysfunction, and
thus aid in the rapid diagnosis of elevated intracranial pressure
or concussion.
[0246] While palsies of cranial nerves II, III, IV and VI have all
been described in patients with acute hydrocephalus (Tzekov et al.,
Pediatric Neurosurgery 1991; 17(6):317-320 and Chou et al.,
Neurosurgery Clinics of North America 1999; 10(4):587-608), the
relative vulnerability of each nerve has not been well established.
If length of exposure to the subarachnoid space were the sole
predictor of vulnerability to intracranial pressure elevation, the
IVth nerve would be most vulnerable (median length 33 mm (Hanson et
al., Neurology 2004; 62(1):33-36)), the IIIrd nerve would be second
most vulnerable (26 mm (Adler et al., Journal of Neurosurgery 2002;
96(6):1103-1112)) and IInd and VIth would be approximately equally
least vulnerable (5 to 16 mm for II (Murali, R. Injuries of the
Cranial Nerves. In: Golfinos P CaJ, ed. Head Injury. 4th ed. New
York: McGraw Hill; 2000), and 11 mm median length for VI (Hanson et
al., Neurology 2004; 62(1):33-36)).
[0247] The abducens nerve (VI) exits the brainstem from its
tethering at the medullopontine junction and courses intracranially
before entering Dorello's canal, where it is again tethered by
fibrous and osseous structures. Elevation of supratentorial ICP
forces the parahippocampal gyri down past the free edge of the
tentorium while the brainstem with the tethered VIth nerve moves
caudally toward the foramen magnum, stretching the nerve where it
enters Dorello's canal (Hanson et al., Neurology 2004;
62(1):33-36). Posterior fossa lesions pushing the cerebellum and
brainstem forward may directly compress the VIth nerve against the
clivus (Hanson et al., Neurology 2004; 62(1):33-36). It is also
possible that the increased reporting of VIth nerve palsies may be
due to their easier detection on clinical examination than III and
IVth nerve palsies.
[0248] The data presented herein does not feature a calibration
step in eye movement tracking. Thus patients need not reliably
follow instructions, and the data does not filter out the possible
effects of cranial neuropathy. Unlike other studies (Contreras et
al., Brain research 2011; 1398:55-63; Maruta et al., The Journal of
Head Trauma Rehabilitation 2010; 25(4):293-305; Contreras et al.,
Journal of Biological Physics 2008; 34(3-4):381-392 and Trojano et
al., J Neurol 2012; (published online; ahead of print)) the data
presented herein does not use saccade count or spatial accuracy as
the measure. In addition to results based on the moving aperture's
periodic envelope presented in this paper, the methodology also
affords a very fine-scale data showing eye movements in response to
the successive frames of the movie itself.
[0249] The methods described herein build on pre-existing methods
that rely on intact ocular motility to address clinical questions.
(Lee et al., Brain research. 2011; 1399:59-65; Contreras et al.,
Brain research 2011; 1398:55-63; Maruta et al., The Journal of Head
Trauma Rehabilitation 2010; 25(4):293-305). The methods described
herein differ in several ways. First, the present methods feature
diagnosing specific clinical conditions related to vision and
ocular motility reflecting the function of cranial nerves II, III,
IV, VI and associated nuclei rather than measuring cognitive
impairment due to primarily cortical mild to moderate traumatic
brain injury. Second, the present methods use more fine-scale
information, using, for instance, about 100,000 measurements to
pull out subtle differences that can be lost through the somewhat
arbitrary thresholding of velocity measures into saccades. Third,
the present methods do not use measurements of spatial accuracy,
which requires transforming the raw data by a series of scaling and
rotating processes whose effectiveness depends on the ability of
their subjects to follow precise commands reliably. In such methods
previously used, it is necessary to exclude the vast majority of
neurologically compromised patients. Further, such methods
previously used lose any information related to the function of
cranial nerves II, III, IV and VI, because the spatial distortions
expected to result from damage to these nerves is reversed in the
process of spatial calibration.
[0250] Trojano et al., J Neurol 2012; (published online; ahead of
print) recently described uncalibrated eye movement measurements in
a population of minimally conscious and persistently vegetative
patients. The methods described herein differ in several ways.
First, Trojano et al. report data from 11 rather than 25 healthy
control subjects. Second, Trojano et al. evaluate chronic disorders
of consciousness rather than acute changes in intracranial
pressure. Third, Trojano et al. sample eye movements at 60 Hz
rather than 500 Hz, effectively reducing the power of the data
100-fold. Fourth, Trojano et al. report differences in on-target
and off-target fixations between the groups, despite not having
spatially calibrated the data, making these values noisy. Finally,
Trojano et al. use static stimuli moving in a quasi-periodic way.
The methods described herein use moving images shown within an
aperture that moves periodically and allows assessing both coarse
and fine eye movement characteristics in both controls and
patients.
Clinical Implications
[0251] The data presented herein are consistent with
compartmentalization of subarachnoid spaces, as several of the
patients demonstrate elevated ICP on one side of the brain, but not
the other. The methods for ICP assessment described herein
represent a significant advantage over conventional radiographic
studies because while the latter depict how the brain appears, our
technique captures how well it functions. CT scanning may require
brief sedation in a pediatric population and risks radiation
exposure, while MR may require prolonged sedation. Brain imaging
may not be diagnostic of elevated ICP in patients with chronically
enlarged ventricles without classic findings such as transependymal
flow on T2 weighted MR imaging (Mizrachi et al., J Neuroophthalmol.
2006; 26(4):260-263). Patients with non-compliant and slit
ventricles may also have elevated ICP in the absence of
radiographic abnormality (Engel et al., Neurosurgery 1979;
5(5):549-552). Shunt tapping risks infection and malfunction,
particularly in patients with slit ventricles. Invasive monitoring
risks intracranial hemorrhage. Thus additional low-risk, rapid
techniques for assessment of hydrocephalus or elevated ICP may be
useful to those assessing populations at risk for these
pathologies.
[0252] The methods described herein provide a useful adjunct for
diagnosis of elevated ICP and the prospective monitoring of such
patients at risk for its development. No patients with elevated ICP
by history, physical examination and radiology have demonstrated
normal ocular motility, demonstrating that the methods described
herein are sensitive. The data presented herein demonstrate that
patients with grossly intact extraocular movements on physical
exam, and relatively minimal changes in pathology, may have
profound disruption on high resolution tracking.
[0253] The methods described herein provide a useful adjunct for
diagnosis of concussion and prospective monitoring of such patients
at risk for developing the same. The data presented herein
demonstrate that patients with grossly intact extraocular movements
on physical exam, and relatively minimal changes in pathology, may
have profound disruption on high resolution tracking.
[0254] Given the diverse baseline ocular pathology of hydrocephalic
patients alone (Dennis et al., Arch Neurol. October 1981;
38(10):607-615; Zeiner et al., Childs Nerv Syst. 1985; 1(2):115-122
and Altintas et al., Graefe's archive for clinical and experimental
ophthalmology=Albrecht von Graefes Archiv fur klinische and
experimentelle Ophthalmologic. 2005; 243(12):1213-1217), tracking
results may need to be compared to each patient's own baseline
data. Similarly subjects with a history of traumatic brain injury
may have tracking results that may need to be compared to each
patient's own baseline data.
[0255] The data presented herein demonstrates in part that it is
possible to diagnose elevated intracranial pressure and concussion
by analysis of eye movements during watching of a video. The
methods described herein are significantly different from other
technologies since imaging studies enable one to see the brain and
invasive techniques enable determination of an arbitrary pressure
or oxygenation number. The methods described herein actually assess
physiologic functioning.
[0256] The methods described herein have many clinical applications
including, for instance, i) assessing function of cranial nerves
II, III, IV and VI, and perhaps even VII, VIII, and/or X; ii)
detecting and quantitatively monitoring any process impeding or
improving the function of the above (e.g. demonstrating elevated
ICP or increased brain mass effect, that may be applied to such
things as aneurysms, multiple sclerosis, sarcoidosis, tumors,
aging, alcohol abuse, intoxicants/narcotics, etc.), iii) localizing
pathology and identifying the nature of that pathology within the
brain (e.g. differentiating between lesions that compress nerves
and those that only create mass effect or elevate ICP far away);
iv) monitoring patients via home computer/webcam, in-hospital or
outpatient "TV shows" that perform "neuro-checks" on a regular
basis; v) quantitatively measuring outcome for assessment of
persistently vegetative and minimally conscious state, aphasia, and
recovery from brain injury, particularly concussion; vi)
characterizing types of aphasia and localizing pathology; vii)
quantitatively assessing dementia/cognitive function and
neurodegenerative diseases. Likewise, the methods described herein
may provide means for in-person screening such as to, for example,
assess vision, assess ocular motility, and assess cognitive
dysfunction all relatively simultaneously (e.g. for a driver's or
pilot's license, employment etc.). Further, the methods described
herein may be used to assess variance, which appears to increase
with cognitive decay. This could be used, for instance, to target
advertising by stratification of intelligence. Further, the methods
described herein may be used to assess disconjugate gaze that
apparently increases with cognitive decay. Still further, the
methods described herein may be used for intelligence or neurologic
function testing.
Conjugacy of Eye Movement
[0257] The present invention features a novel eye movement tracking
method that is useful for quantitating gaze conjugacy, and thus
disconjugacy, during naturalistic viewing. Similarly, the method
assesses vergence, or the ability of the eyes to focus on a single
point. When the point moves closer the eyes converge and if it
moves further away they diverge. Watching a moving stimulus on a
monitor thus requires sustained vergence. It may be performed while
a subject watches television or a video moving inside an aperture
with a set trajectory for about 220 seconds at a fixed distance
from a viewing monitor. It may also be performed as the subject
views natural stimuli over time. The position of each pupil may be
recorded over time elapsed as the video travels on its time course,
enabling detection of impaired ability to move the pupils relative
to time and therefore relative to each other. This method has high
test-retest reliability in control subjects without significant
neurologic or ophthalmic impairments using both a stationary and
portable eye tracking device.
[0258] Eye movement tracking for neuropsychiatric and brain injury
research (Heitger, et al., Brain, 2009; 132: 2850-2870; Maruta, et
al., J Head Trauma Rehabil., 2010; 25: 293-305) has been performed
for nearly 30 years and can evaluate smooth pursuit, saccades,
fixation, pupil size and other aspects of gaze. Spatial calibration
of the eye tracker is generally performed for each individual being
tracked. With calibration, the eye-tracker measures the relative
position of pupil and conical reflection for a period of about
400-800 ms while the subject looks at a target or targets of known
position to generate meaningful spatial coordinates during
subsequent pupil movement. The process of spatial calibration
implies relatively preserved neurologic function because it
requires that the subject is able to follow commands and look at
specific points.
[0259] The process of spatial calibration may mask deficits in
ocular motility. If there is a persistent and replicable weakness
in movement of an eye, the camera may interpret the eye's ability
to move in the direction of that weakness as the full potential
range of motion in that direction due to the calibration process.
In other words if the subject is directed to look at a position but
consistently only moves halfway there, the calibration process may
account for that when tracking subsequent eye movements and
interpret movements to the halfway point as occurring at the full
range of normal motion. If during calibration one eye only makes it
halfway to the target, but the other eye is fully there, the camera
may interpret both eyes as being together when one performs half
the eye movement as the other. Thus binocular spatial calibration
may preclude detection of disconjugate gaze unless each eye is
calibrated separately using a dichoptic apparatus (Schotter, et
al., PLoS One, 2012; 7: e35608).
[0260] The present invention provides a novel technique for
non-spatially calibrated tracking performed while subjects watch a
music video moving inside an aperture on a computer monitor. The
aperture moves around the monitor periphery at a known rate so that
the position of the pupil can be predicted at any given time based
on the time elapsed since the start of the video. By using elapsed
time, rather than spatial calibration, the method detects impaired
ability to move one pupil relative to the other. Uncalibrated
tracking not only does not compensate for impaired motility, but
also can be used in patients who do not follow commands such as
aphasics, foreign-language speakers, persistently vegetative
individuals and small children. It can also be used on animals.
[0261] If the subject's eyes are positioned about 55 cm from the
center of the 30.times.35 cm viewing monitor, the method and
associated algorithm elicits pupil movement in a maximum range of
about 15.degree. in any direction from midposition, or
approximately 30.degree. total from top to bottom or side to side.
Thus, in some instances, the method and associated algorithm may
not require or assess the full range of ocular motility, nor the
entire visual field. Use of a larger monitor, or one positioned
closer to the subject would enable assessment of these.
[0262] The observed and measured conjugacy was significantly higher
in the horizontal plane than vertical. This may reflect any of
multiple factors: (1) the shape of the monitor was not a perfect
square but rather a 17'' diameter rectangle. Each side was
traversed in 10 seconds so the eyes had a greater distance to
travel horizontally than vertically. Because the eyes were moving
faster horizontally they may possibly be more conjugate. (2) Humans
have stronger event related desynchronization on
electroencephalogram with horizontal versus vertical eye movements
(Kaiser, et al., Clin Neurophysiol., 2009; 120: 1988-1993). Humans
may have evolved to have higher conjugacy in the horizontal plane
than in the vertical because more prey and predators are likely to
be at near the same altitude rather than above or below. Other
species have demonstrated differences in vertical versus horizontal
eye movements (Lisberger, et al., J Neurophysiol., 1989; 61:
173-185). (3) The control population is predominantly English
speaking and thus reads from left to right, and reads faster
horizontally than vertically (Seo, et al., Vision Res., 2002; 42:
1325-1337). Testing of a population that reads vertically may
potentially yield higher vertical conjugacy.
[0263] The technique described herein differs from uncalibrated
tracking using static stimuli for on-target and off-target
fixations in a population of minimally conscious and persistently
vegetative patients that have open eyes (Trojano, et al., J
Neurol., 2012 (published online; ahead of print)). The moving
images shown within an aperture that moves periodically allow
assessing both coarse and fine eye movement characteristics in both
controls and neurologically impaired subjects. Unlike other studies
(Contreras, et al., Brain Res., 2011; 1398: 55-63; Contreras, et
al., J Biol Phys., 2008; 34: 381-392; Maruta, et al., J Head Trauma
Rehabil., 2010; 25: 293-305; Trojano, et al., J Neurol., 2012
(published online; ahead of print)) the present methods do not use
saccade count or spatial accuracy which requires transformation of
raw data by a series of scaling and rotating processes whose
effectiveness depends on the ability of their subjects to follow
precise commands reliably. The present methods also differ from
gaze estimation, which requires either a fixed head position or
multiple light sources and cameras to localize the pupil (Guestrin,
et al., IEEE Trans Biomed Eng., 2006; 53: 1124-1133).
[0264] Video oculography is a relatively newer technique that uses
infrared cameras mounted in goggles to track the center of the
pupil's position as the eye moves. It has been demonstrated to be
useful in screening for neurovestibular and labyrinthine
dysfunction and most recently in distinguishing these from
vertebrobasilar stroke (Newman-Toker, et al., Stroke, 2013; 44:
1158-1161). Video oculography generally relies on spatial
calibration (Hong, et al., Behav Res Methods, 2005; 37: 133-138;
Schreiber, et al., IEEE Trans Biomed Eng., 2004; 51: 676-679). The
use of our non-calibrated stimulus algorithm with video oculography
rather than a sole eye tracking camera might be an interesting
subject for future study.
[0265] The methods described herein provide both sensitivity and
specificity. Because so many different cortical functions are
required for watching a video, any process impeding global cranial
function or specific cranial nerve function will likely be revealed
by the present methods. Tracking may be confounded in patients with
a history of prior brain insult, who are intoxicated, or are under
the influence of pharmacologic agents. Patients' cognitive
abilities, attention span and distractibility will impact the
quality of ocular motility data.
[0266] The methods described herein are useful for screening for
strabismus. In a population of 14,006 consecutive patients examined
at a pediatric eye clinic in Rome, 2.72% demonstrated either A or
V-pattern strabismus (Dickmann, et al., Ophthalmic Epidemiol.,
2012; 19: 302-305). A-pattern was associated with a greater
prevalence of neurological impairment, hydrocephalus and
meningomyelocele, while those with V-pattern exhibited a greater
prevalence of craniosynostosis and malformative syndromes
(Dickmann, et al., Ophthalmic Epidemiol., 2012; 19: 302-305).
Delays in treatment of strabismus onset following binocular vision
maturation may be associated with permanent disruption of
stereopsis and sensory fusion (Fawcett, Curr Opin Ophthalmol.,
2005; 16: 298-302).
[0267] Given the relatively low prevalence of strabismus, the
methods described herein are useful for the rapid automated
assessment of acquired disconjugacy and vergence disorders. Such
disconjugacy and vergence disorders may be due to neurologic causes
including trauma, hydrocephalus, demyelination, inflammation,
infection, degenerative disease, neoplasm/paraneoplastic syndrome,
metabolic disease including diabetes, or vascular disruption such
as stroke, hemorrhage or aneurysm formation. Disconjugacy may also
be due to ophthalmologic causes such as conjunctivitis,
ophthalmoplegia, ocular injury or other diseases. As such, the
methods described herein are useful for screening for strabismus or
congenital disconjugate gaze, screening for acquired disconjugate
gaze due to neurologic causes including trauma, hydrocephalus,
demyelination, inflammation, infection, degenerative disease,
neoplasm/paraneoplastic syndrome, metabolic disease including
diabetes, or vascular disruption such as stroke, hemorrhage or
aneurysm formation. Disconjugacy may also be due to ophthalmologic
causes such as conjunctivitis, ophthalmoplegia, ocular injury or
other diseases, and assessing reading/learning disorders.
Binocular Eye Movement Monitoring
[0268] When the human brain is physiologically intact, the eyes
move together with a conjugate gaze. Only by deliberate conscious
effort can an individual overcome this mechanism (eg when they
deliberately "cross" the eyes.) A failure of the eyes to move in
complete synchrony is called disconjugate gaze.
[0269] Binocular tracking may be used to compare the non-spatially
calibrated trajectory of one eye to the other. Subtle differences
between the trajectories of the two eyes may be detected. These
differences provide valuable information regarding the physiologic
function or dysfunction of the movement of one eye relative to the
other. In the absence of known structural ocular injury, such
differences reflect physiologic differences in the function of the
two sides of the brain. Since brain lesions due to stroke, trauma
or concussion, tumors, demyelinating disease, hydrocephalus,
degenerative disease, etc. are rarely completely symmetric,
comparing the eye movement of one eye to the eye movement of the
other eye may be used to either confirm the presence of a lesion,
to differentiate the existence of a lesion from other more global
factors that may affect a person's ability to participate in an eye
tracking task, such as fatigue, intoxication, medications, drug
abuse, malingering, or lack of willingness to participate in an eye
tracking task.
[0270] Thus binocular tracking and directly comparing the
trajectories obtained over time, rather than with spatial
calibration, may be used to diagnose pathology and to distinguish
between these diagnoses and global factors that may impact eye
tracking. In addition to or instead of an eye tracking camera, a
video oculography device such as goggles may be used to evaluate
eye movements over time rather than with spatial calibration. The
eye tracking device may also be located remotely and function via
the internet or other visualization mechanism.
Computing System
[0271] A computing system according to the invention is described
in FIGS. 13-14. Implementations of the observer matter and the
functional operations described herein can be implemented in other
types of digital electronic circuitry, or in computer software,
firmware, or hardware, including the structures disclosed in this
specification and their structural equivalents, or in combinations
of one or more of them. The computer system or computing device
1000 can be used to implement a device that includes the processor
106 and the display 108, the eye movement/gaze tracker component
104, etc. The computing system 1000 includes a bus 1005 or other
communication component for communicating information and a
processor 1010 or processing circuit coupled to the bus 1005 for
processing information. The computing system 1000 can also include
one or more processors 1010 or processing circuits coupled to the
bus for processing information. The computing system 1000 also
includes main memory 1015, such as a random access memory (RAM) or
other dynamic storage device, coupled to the bus 1005 for storing
information, and instructions to be executed by the processor 1010.
Main memory 1015 can also be used for storing position information,
temporary variables, or other intermediate information during
execution of instructions by the processor 1010. The computing
system 1000 may further include a read only memory (ROM) 1010 or
other static storage device coupled to the bus 1005 for storing
static information and instructions for the processor 1010. A
storage device 1025, such as a solid state device, magnetic disk or
optical disk, is coupled to the bus 1005 for persistently storing
information and instructions.
[0272] The computing system 1000 may be coupled via the bus 1005 to
a display 1035, such as a liquid crystal display, or active matrix
display, for displaying information to a user. An input device
1030, such as a keyboard including alphanumeric and other keys, may
be coupled to the bus 1005 for communicating information and
command selections to the processor 1010. In another
implementation, the input device 1030 has a touch screen display
1035. The input device 1030 can include a cursor control, such as a
mouse, a trackball, or cursor direction keys, for communicating
direction information and command selections to the processor 1010
and for controlling cursor movement on the display 1035.
[0273] According to various implementations, the processes
described herein can be implemented by the computing system 1000 in
response to the processor 1010 executing an arrangement of
instructions contained in main memory 1015. Such instructions can
be read into main memory 1015 from another computer-readable
medium, such as the storage device 1025. Execution of the
arrangement of instructions contained in main memory 1015 causes
the computing system 1000 to perform the illustrative processes
described herein. One or more processors in a multi-processing
arrangement may also be employed to execute the instructions
contained in main memory 1015. In alternative implementations,
hard-wired circuitry may be used in place of or in combination with
software instructions to effect illustrative implementations. Thus,
implementations are not limited to any specific combination of
hardware circuitry and software.
[0274] Implementations of the observer matter and the operations
described herein can be implemented in digital electronic
circuitry, or in computer software, firmware, or hardware,
including the structures disclosed in this specification and their
structural equivalents, or in combinations of one or more of them.
The observer matter described herein can be implemented as one or
more computer programs, i.e., one or more modules of computer
program instructions, encoded on one or more computer storage media
for execution by, or to control the operation of, data processing
apparatus. Alternatively or in addition, the program instructions
can be encoded on an artificially-generated propagated signal,
e.g., a machine-generated electrical, optical, or electromagnetic
signal that is generated to encode information for transmission to
suitable receiver apparatus for execution by a data processing
apparatus. A computer storage medium can be, or be included in, a
computer-readable storage device, a computer-readable storage
substrate, a random or serial access memory array or device, or a
combination of one or more of them. Moreover, while a computer
storage medium is not a propagated signal, a computer storage
medium can be a source or destination of computer program
instructions encoded in an artificially-generated propagated
signal. The computer storage medium can also be, or be included in,
one or more separate components or media (e.g., multiple CDs,
disks, or other storage devices). Accordingly, the computer storage
medium is both tangible and non-transitory.
[0275] The operations described herein can be performed by a data
processing apparatus on data stored on one or more
computer-readable storage devices or received from other
sources.
[0276] The term "data processing apparatus" or "computing device"
encompasses all kinds of apparatus, devices, and machines for
processing data, including by way of example a programmable
processor, a computer, a system on a chip, or multiple ones, or
combinations of the foregoing. The apparatus can include special
purpose logic circuitry, e.g., an FPGA (field programmable gate
array) or an ASIC (application-specific integrated circuit). The
apparatus can also include, in addition to hardware, code that
creates an execution environment for the computer program in
question, e.g., code that constitutes processor firmware, a
protocol stack, a database management system, an operating system,
a cross-platform runtime environment, a virtual machine, or a
combination of one or more of them. The apparatus and execution
environment can realize various different computing model
infrastructures, such as web services, distributed computing and
grid computing infrastructures.
[0277] A computer program (also known as a program, software,
software application, script, or code) can be written in any form
of programming language, including compiled or interpreted
languages, declarative or procedural languages, and it can be
deployed in any form, including as a stand-alone program or as a
module, component, subroutine, object, or other unit suitable for
use in a computing environment. A computer program may, but need
not, correspond to a file in a file system. A program can be stored
in a portion of a file that holds other programs or data (e.g., one
or more scripts stored in a markup language document), in a single
file dedicated to the program in question, or in multiple
coordinated files (e.g., files that store one or more modules,
sub-programs, or portions of code). A computer program can be
deployed to be executed on one computer or on multiple computers
that are located at one site or distributed across multiple sites
and interconnected by a communication network.
[0278] Processors suitable for the execution of a computer program
include, by way of example, both general and special purpose
microprocessors, and any one or more processors of any kind of
digital computer. Generally, a processor will receive instructions
and data from a read-only memory or a random access memory or both.
The essential elements of a computer are a processor for performing
actions in accordance with instructions and one or more memory
devices for storing instructions and data. Generally, a computer
will also include, or be operatively coupled to receive data from
or transfer data to, or both, one or more mass storage devices for
storing data, e.g., magnetic, magneto-optical disks, or optical
disks. However, a computer need not have such devices. Moreover, a
computer can be embedded in another device, e.g., a mobile
telephone, a personal digital assistant (PDA), a mobile audio or
video player, a game console, a Global Positioning System (GPS)
receiver, or a portable storage device (e.g., a universal serial
bus (USB) flash drive), to name just a few. Devices suitable for
storing computer program instructions and data include all forms of
non-volatile memory, media and memory devices, including by way of
example semiconductor memory devices, e.g., EPROM, EEPROM, and
flash memory devices; magnetic disks, e.g., internal hard disks or
removable disks; magneto-optical disks; and CD-ROM and DVD-ROM
disks. The processor and the memory can be supplemented by, or
incorporated in, special purpose logic circuitry.
[0279] To provide for interaction with a user, implementations of
the observer matter described in this specification can be
implemented on a computer having a display device, e.g., a CRT
(cathode ray tube) or LCD (liquid crystal display) monitor, for
displaying information to the user and a keyboard and a pointing
device, e.g., a mouse or a trackball, by which the user can provide
input to the computer. Other kinds of devices can be used to
provide for interaction with a user as well; for example, feedback
provided to the user can be any form of sensory feedback, e.g.,
visual feedback, auditory feedback, or tactile feedback; and input
from the user can be received in any form, including acoustic,
speech, or tactile input.
[0280] Described herein are many specific implementation details,
these should not be construed as limitations on the scope of any
inventions or of what may be claimed, but rather as descriptions of
features specific to particular implementations of particular
inventions. Certain features described herein in the context of
separate implementations can also be implemented in combination in
a single implementation. Conversely, various features described in
the context of a single implementation can also be implemented in
multiple implementations separately or in any suitable
subcombination. Moreover, although features may be described above
as acting in certain combinations and even initially claimed as
such, one or more features from a claimed combination can in some
cases be excised from the combination, and the claimed combination
may be directed to a subcombination or variation of a
subcombination.
[0281] Similarly, while operations are depicted in the drawings in
a particular order, this should not be understood as requiring that
such operations be performed in the particular order shown or in
sequential order, or that all illustrated operations be performed,
to achieve desirable results. In certain circumstances,
multitasking and parallel processing may be advantageous. Moreover,
the separation of various system components in the implementations
described above should not be understood as requiring such
separation in all implementations, and it should be understood that
the described program components and systems can generally be
integrated in a single software product or packaged into multiple
software products.
The Relationship of Aspect Ratio and Variance as Measures of the
Signal
[0282] When the (x,y) pairs are plotted to show the `box plots,`
they have been preprocessed because the absolute values of the raw
data are of limited use since changes in the signal over time are
most important. There are many ways to normalize data, including
dividing by the mean, by the standard deviation, or by the
variance. Furthermore, the standard deviation or variance can be
computed for all the data at once or x can be normalized using the
variance of x and y can be normalized using the variance of y. Any
normalization procedure for periodic data likely includes
subtracting the mean, so the signal can be plotted as signal change
alternating around zero. All of these transformations are
conventional and widely used in data analysis by those of ordinary
skill in the art. The details depend on the question being asked
and the type of modeling or statistical testing being used.
[0283] In creating the box plots described herein, the raw data is
preprocessed as follows: for the x (horizontal) and y (vertical)
vectors independently, the mean is subtracted and divided by the
standard deviation (which is the square root of the variance). This
puts all the data in the same relative frame (zero-mean, max and
min about 1 and -1). This is the reason the boxes look square (even
if the stimulus presentation monitor is not square).
[0284] This means that `long` and `short` sides are reflecting
relative variability. If the variability is high, the denominator
is high and the measure value low. So, for example, if the
variability of the horizontal (x) data is high relative to the
variability of the vertical (y) data, the horizontal aspect of the
box will be relatively smaller, and the result will be a tall
skinny box (higher aspect ratio). Conversely, if the variability of
the vertical (y) data is high relative to the variability of the
horizontal (x) data, the vertical range will be reduced and the
result will be a short fat box (lower aspect ratio).
[0285] Thus, particular implementations of the observer matter have
been described. Other implementations are within the scope of the
following claims. In some cases, the actions recited in the claims
can be performed in a different order and still achieve desirable
results. In addition, the processes depicted in the accompanying
figures do not necessarily require the particular order shown, or
sequential order, to achieve desirable results. In certain
implementations, multitasking and parallel processing may be
advantageous.
Disconjugate Eye Tracking Assessment
[0286] The methods described herein provide means for assessing or
quantifying disconjugate gaze or disconjugate eye movement. These
means feature receiving an array of pupil x and y coordinates that
may be generated or obtained according to the methods described
herein. These coordinates may be averaged across, for instance,
five eyebox trajectory cycles. Formulaically this can be
represented as follows:
X avg , ik = .SIGMA. j = 1 5 X i , k 5 , for all i = 1 : N , k = 1
: 2 , ##EQU00012##
where X.sub.ijk refers to the x-coordinate of the pupil, and k
refers to the left or right eye of a subject. The difference in the
x and y position, for the left and right eye, may then be computed.
This vector of difference may then be plotted graphically for
purposes of assessment and interpretation. To have a single metric
expressing the level of pupil disconjugation, a variance of the
data may be computed with respect to an expected mean of zero. This
is significant because the code assumes that a healthy subject has
zero lateral or longitudinal pupil position difference between each
eye. The variance may be computed as follows:
Var x - 1 N .SIGMA. l = 1 N ( X Avg , 1 - 0 ) 2 . ##EQU00013##
[0287] The total variance may be computed as follows:
Var.sub.Tot=Var.sub.x+Var.sub.y.
[0288] The variance in X, Y, and the total variance may be plotted
in order to assess the amount of disconjugation (i.e. disconjugate
gaze) present in a subject.
Conjugacy of Eye Movement
[0289] The methods described herein may identify strabismus. In a
population of 14,006 consecutive patients examined at a pediatric
eye clinic in Rome, 2.72% demonstrated either A or V-pattern
strabismus (Dickmann, et al., Ophthalmic Epidemiol., 2012; 19:
302-305). A-pattern was associated with a greater prevalence of
neurological impairment, hydrocephalus and meningomyelocele, while
those with V-pattern exhibited a greater prevalence of
craniosynostosis and malformative syndromes (Dickmann, et al.,
Ophthalmic Epidemiol., 2012; 19: 302-305). Delays in treatment of
strabismus onset following binocular vision maturation may be
associated with permanent disruption of stereopsis and sensory
fusion (Fawcett, Curr Opin Ophthalmol., 2005; 16: 298-302).
[0290] Given the relatively low prevalence of strabismus, the
methods described herein are useful for the rapid automated
assessment of acquired disconjugacy. Such disconjugacy may be due
to neurologic causes including trauma, hydrocephalus,
demyelination, inflammation, infection, degenerative disease,
neoplasm/paraneoplastic syndrome, metabolic disease including
diabetes, or vascular disruption such as stroke, hemorrhage or
aneurysm formation. Disconjugacy may also be due to ophthalmologic
causes such as conjunctivitis, ophthalmoplegia, ocular injury or
other diseases. The methods described herein may feature assessing
conjugacy or disconjugacy of eye movement in correlation with
structural and non-structural traumatic brain injury, including
concussion or blast injury.
Structurally and Non-Structurally Brain Injured Subjects
[0291] A purpose of the prospective observational study described
herein was to quantitate differences in eye tracking of
structurally and non-structurally brain injured subjects relative
to non-brain but bodily injured and healthy non-injured controls to
identify the eye tracking parameters associated with structural and
non-structural injury. Another purpose was to identify a
correlation between impaired eye tracking and clinical neurologic
functioning. Eye tracking and clinical concussion assessments were
performed on 44 injured subjects, and eye tracking was performed
only on 31 healthy normal controls. 51 eye tracking parameters were
assessed in each patient. 10 parameters showed statistically
significant differences between negative controls (healthy normal
people and corporally injured trauma patients) and both positive
controls (patients with structural brain injury) and patients with
non-structural brain injury. 8 additional parameters showed
statistically significant differences between negative controls
(healthy normal people and corporally injured trauma patients) and
patients with either structural or non-structural brain injury. 10
of the eye tracking measures showed statistically significant
correlation between SCAT or SAC scores, demonstrating that these
eye tracking parameters correlated with a validated clinical
outcome measure.
[0292] In order to assess ocular motility including the function of
cranial nerves III, IV, and VI and associated nuclei, a novel
technique for automated eye movement tracking was developed using
temporal rather than spatial calibration. The position of the pupil
is predicted based on time elapsed since the start of the video
rather than spatial calibration, enabling detection of impaired
ability to move the pupil relative to normal controls or the
opposite eye. Temporal calibration offers the additional advantage
of utility to populations that may not be willing or able to
cooperate with calibration instructions such as young children,
foreign-language speakers, minimally conscious persons, or
aphasics.
[0293] The data presented herein quantitates differences in eye
tracking of structurally and non-structurally brain injured
subjects relative to non-brain but bodily injured and healthy
non-injured controls to identify the parameters associated with
structural and non-structural injury. The data presented herein
further establish a correlation between impaired eye tracking and
clinical neurologic functioning.
General Quantification Methods
[0294] Raw x and y cartesian coordinates of pupil position are
collected and stored in a one-dimensional vector:
x.sub.i, (1)
y.sub.i. (2)
[0295] This data is normalized according to the following form:
x ~ i = x i - Mean ( x ) .sigma. x , ( 3 ) y ~ i = y i - Mean ( y )
.sigma. y . ( 4 ) ##EQU00014##
[0296] Index i corresponds to an individual data point. The size of
i depends on the eye tracking hardware capture frequency and the
time of tracking. The data is then sorted by eye (j=1:2, left,
right), cycle (current stimulus method features an aperture that
moves around the computer screen for five cycles) (k=1:5, first,
second, third, fourth, fifth) and box segment (l=1:4, top, right,
bottom, left). Implicit, is that each j, k, l has its own data
points, n, whose size is also governed by the hardware tracking
frequency and time length.
x.sub.i.fwdarw.x.sub.j,k,l, (5)
y.sub.i.fwdarw.y.sub.j,k,l. (6)
Individual Metrics
[0297] Segment Mean
x.sub.j,k,l, (7)
y.sub.j,k,l. (8)
[0298] Corresponds to the arithmetic average of all data points on
each segment l for all j, k. The result is one number representing
each segment l.
[0299] Median
[0300] Corresponds to the statistical median of all data points on
each segment l for all j, k. The result is one number representing
each segment l.
x.sub.j,k,l, (9)
y.sub.j,k,l. (10)
[0301] Segment Variance
Var(x.sub.j,k,l), (11)
Var(y.sub.j,k,l). (12)
[0302] Corresponds to the statistical variance of all data points
on each segment l for all j, k. The result is one number
representing each segment l.
[0303] Specific Metrics
L.varYtop=Var(y.sub.1,average k=1:5,1) (13)
R.varYtop==Var(y.sub.2,average k=1:5,1) (14)
L.varXrit=Var(x.sub.1,average k=1:5,2) (15)
R.varXrit=Var(x.sub.2,average k=1:5,2) (16)
L.varYbot=Var(y.sub.1,average k=1:5,3) (17)
R.varYbot=Var(y.sub.2,average k=1:5,3) (18)
L.varXlef=Var(x.sub.1,average k=1:5,4) (19)
L.varXlef=Var(x.sub.2,average k=1:5,4) (20)
L.varTotal=Average(Var(x.sub.1,average k=1:5)+Var(y.sub.1,average
k=1:5)) (20)
R.varTotal=Average(Var(x.sub.2,average k=1:5)+Var(y.sub.2,average
k=1:5)) (22)
[0304] Segment Standard Deviation
.sigma..sub.x.sub.j,k,l, (23)
.sigma..sub.y.sub.j,k,l. (24)
[0305] Corresponds to the statistical standard deviation of all
data points on each segment l for all j, k. The result is one
number representing each segment l.
[0306] Segment Skew
Skew(x.sub.j,k,l)=.sub.j,k,l-.sub.j,k,l, (25)
Skew(y.sub.j,k,l)=.sub.j,k,l-.sub.j,k,l. (26)
[0307] Corresponds to the statistical skew (how far the mean is
from the median) of all data points on each segment l for all j, k.
The result is one number representing each segment l.
[0308] Specific Metrics
L.SkewTop=Skew(y.sub.1,average k=1:5,1) (27)
R.SkewTop=Skew(y.sub.2,average k=1:5,1) (28)
L.SkewRit=Skew(y.sub.1,average k=1:5,2) (29)
R.SkewRit=Skew(y.sub.2,average k=1:5,2) (30)
L.SkewBot=Skew(y.sub.1,average k=1:5,3) (31)
R.SkewBot=Skew(y.sub.2,average k=1:5,3) (32)
L.SkewLef=Skew(y.sub.1,average k=1:5,4) (33)
R.SkewLef=Skew(y.sub.2,average k=1:5,4) (34)
[0309] Segment Normalized Skew
SkewNorm ( x ~ j , k , l ) = Skew ( x ~ j , k , l ) .sigma. x ~ j ,
k , l , ( 35 ) SkewNorm ( y ~ j , k , l ) = Skew ( y ~ j , k , l )
.sigma. y ~ j , k , l . ( 36 ) ##EQU00015##
[0310] Specific Metrics
L.SkewTopNorm=SkewNorm(y.sub.1,average k=1:5,1) (37)
R.SkewTopNorm=SkewNorm(y.sub.2,average k=1:5,1) (38)
L.SkewRitNorm=SkewNorm(y.sub.1,average k=1:5,2) (39)
R.SkewRitNorm=SkewNorm(y.sub.2,average k=1:5,2) (40)
L.SkewBotNorm=SkewNorm(y.sub.1,average k=1:5,3) (41)
R.SkewBotNorm=SkewNorm(y.sub.2,average k=1:5,3) (42)
L.SkewLefNorm=SkewNorm(y.sub.1,average k=1:5,4) (43)
R.SkewLefNorm=SkewNorm(y.sub.2,average k=1:5,4) (44)
[0311] Box Height
BoxHeight.sub.j,k=y.sub.j,k,1-y.sub.j,k,3 (45)
[0312] Box Width
BoxWidth.sub.j,k=x.sub.j,k,2-x.sub.j,k,4 (46)
[0313] Box Aspect Ratio
AspectRatio j , k = BoxHeight j , k BoxWidth j , k ( 47 )
##EQU00016##
[0314] Box Area
BoxArea.sub.j,k=BoxHeight.sub.j,k.times.BoxWidth.sub.j,k (48)
[0315] Conjugacy
[0316] The five cycles are averaged together to give one averaged
cycle, rendering:
x.sub.j,l, (49)
y.sub.j,l. (50)
[0317] Then the data from the right eye is subtracted from the left
eye to obtain a delta value:
x.sub.l=x.sub.1,l-x.sub.2,l (51)
y.sub.l=y.sub.1,l-y.sub.2,l. (52)
[0318] Here x represents the left normalized raw x pupil position
minus the right normalized raw x pupil position. l corresponds to
the top, right, bottom and left segments of the box.
[0319] Variance (Conjugacy)
[0320] The variance here does not follow the traditional form of
statistical variance. In the traditional form, the average of the
data points is subtracted from the sum of individual data points.
In this case, the average is forced to zero, thus inferring that
the hypothetical control patient has perfect conjugacy (left and
right eye move precisely together).
Conj varX = Var ( x ~ ) = .SIGMA. l = 1 4 ( x ~ 1 ) 2 - 0 .SIGMA. l
= 1 4 x ~ 1 , ( 53 ) Conj varY = Var ( y ~ ) = .SIGMA. l = 1 4 ( y
~ 1 ) 2 - 0 .SIGMA. l = 1 4 y ~ 1 , ( 54 ) TotalVariance = Conj
totVar = Var ( x ~ ) + Var ( y ~ ) , ( 55 ) CoVariance = Conj
CorrXY = .SIGMA. l = 1 4 x ~ 1 y ~ 1 .SIGMA. l = 1 4 x ~ 1 - 1 ( 56
) ##EQU00017##
Specific Metrics
[0321] Conj varXtop = .SIGMA. ( x ~ 1 ) 2 - 0 .SIGMA. x ~ 1 , ( 57
) Conj varXrit = .SIGMA. ( x ~ 2 ) 2 - 0 .SIGMA. x ~ 2 , ( 58 )
Conj varXbot = .SIGMA. ( x ~ 3 ) 2 - 0 .SIGMA. x ~ 3 , ( 59 ) Conj
varXlef = .SIGMA. ( x ~ 4 ) 2 - 0 .SIGMA. x ~ 4 , ( 60 ) Conj
varYtop = .SIGMA. ( y ~ 1 ) 2 - 0 .SIGMA. y ~ 1 , ( 61 ) Conj
varYrit = .SIGMA. ( y ~ 2 ) 2 - 0 .SIGMA. y ~ 2 , ( 62 ) Conj
varYbot = .SIGMA. ( y ~ 3 ) 2 - 0 .SIGMA. y ~ 3 , ( 63 ) Conj
varYrit = .SIGMA. ( y ~ 4 ) 2 - 0 .SIGMA. y ~ 4 , ( 64 ) Conj
CorrXYtop = .SIGMA. x ~ 1 y ~ 1 .SIGMA. x ~ 1 - 1 , ( 65 ) Conj
CorrXYrit = .SIGMA. x ~ 2 y ~ 2 .SIGMA. x ~ 2 - 1 , ( 66 ) Conj
CorrXYbot = .SIGMA. x ~ 3 y ~ 3 .SIGMA. x ~ 3 - 1 , ( 67 ) Conj
CorrXYlef = .SIGMA. x ~ 4 y ~ 4 .SIGMA. x ~ 4 - 1 ( 68 )
##EQU00018##
[0322] Variance x Ratio Top/Bottom (Conjugacy)
Conj varXtopbotRatio = Var ( x ~ 1 ) Var ( x ~ 2 ) ( 69 )
##EQU00019##
[0323] Variance y Ratio Top/Bottom (Conjugacy)
Conj varYtopbotRatio = Var ( y ~ 1 ) Var ( y ~ 2 ) ( 70 )
##EQU00020##
[0324] Variance x Ratio Left/Right (Conjugacy)
Conj varXlefritRatio = Var ( x ~ 4 ) Var ( x ~ 2 ) ( 71 )
##EQU00021##
[0325] Variance y Ratio Left/Right (Conjugacy)
Conj varYlefritRatio = Var ( y ~ 4 ) Var ( y ~ 2 ) ( 72 )
##EQU00022##
EXAMPLES
[0326] The following examples are set forth to provide those of
ordinary skill in the art with a description of how to make and use
the methods and compositions of the invention, and are not intended
to limit the scope thereof. Efforts have been made to insure
accuracy of numbers used (e.g., amounts, temperature, etc.) but
some experimental errors and deviations should be accounted for.
Unless indicated otherwise, parts are parts by weight, molecular
weight is average molecular weight, temperature is in degrees
Centigrade, and pressure is at or near atmospheric.
Example 1
Background
[0327] Eye movements contain clinically important information about
neurological integrity. Clinical devices may take advantage of the
relative ease of automated eye-movement tracking, for applications
such as assessing recovery following clinical intervention. A
technique was designed that can reliably measure eye movements with
precision, without initial spatial calibration. We tracked eye
movements without spatial calibration in neurologically intact
adults and in neurosurgical patients as they watched a short music
video move around the perimeter of a screen for 220 s. Temporal
features of the data were measured, rather than traditional spatial
measures such as accuracy or speed.
[0328] The methods reliably discriminated between the presence and
absence of neurological impairment using these uncalibrated
measurements. The results indicate that this technique may be
extended to assess neurologic integrity and quantify deficits,
simply by having patients watch TV.
[0329] These methods are useful in a number of contexts, including
rapid assessment of potentially neurologically injured individuals,
monitoring of patients whose states might fluctuate between
impairment and recovery, and measuring the efficacy of
rehabilitation or intervention.
[0330] Eye movements have long been known to contain clinically
relevant information about neurological integrity. Assessment of
ocular motility is a standard part of any neurological exam,
because it is easy and informative. However, there are some
problems with the standard clinical exam including that it is
normally administered by an expert, and generally is only
qualitative, not quantitative.
[0331] The relative ease, portability, and noninvasiveness of
automated eye-movement tracking devices has made it a promising
area of translational research, for applications such as testing
for concussion on athletic fields and assessing recovery following
clinical intervention. Eye movement studies have provided insight
into clinical fields from psychiatry to traumatic brain injury
(TBI) and rehabilitation. (Trojano, et al., J Neurol., 2012,
259(9): 1888-95; Gitchel, et al., Arch Neurol., 2012, 69(8):1011-7;
Qiu, et al., PLoS One, 2011, 6(10):e25805; Plow, et al., PMR,
3(9):825-35; Heitger, et al., Brain., 2009, 132(Pt 10):2850-70;
Pearson, et al., Br J Sports Med., 2007, 41(9):610-2; Heitger, et
al., J Neurol Sci., 2007, 15; 253(1-39 2):34-47; Suh, et al.,
Neurosci Lett., 2006, 401(1-2):108-13; Suh, et al., Neurosci Lett.,
2006, 410(3):203-7; Heitger, et al., Brain Inj., 2006,
20(8):807-24; Yang, et al., Image and Vision Computing, 2002,
20(4):273-87; and Heitger, et al., Prog Brain Res., 2002, 40:433-12
48) Studies commonly measure accuracy of spatial fixation, time
spent on particular fixation targets, and saccade count. (Trojano,
et al., J Neurol., 2012, 259(9): 1888-95 and Foulsham, et al.,
Vision Res., 2011, 51(17):1920-31) Despite the promise, it has
proven difficult to develop clinical applications based on
quantitative measurements of eye-movements, (Heitger, et al., Prog
Brain Res., 2002, 40:433-12 48 and Foulsham, et al., Vision Res.,
2011, 51(17):1920-31) possibly because spatial calibration can be
difficult in clinical settings, and because spatial calibration
precludes the use of eye tracking for detection of dysfunctional
ocular motility.
[0332] The standard use of an eye-tracker requires that the system
be calibrated individually for every observer at the start of every
measurement session. Calibration involves asking the observer to
look at a series of high-contrast dots displayed on a computer
monitor. The calibration process may be repeated several times
until sufficient accuracy has been achieved. Only then can eye
movements be recorded.
[0333] It has been difficult to use eye-tracking in clinical
applications with observers for whom this calibration process is
difficult (e.g., requiring many repetitions) or impossible.
Calibration requires a willing observer who can follow commands
reliably. Many clinical conditions that result in a loss of neural
integrity, such as stroke or brain injury, also render the observer
unwilling or unable to follow instruction.
[0334] Also problematic for using eye-tracking methods to brain
injury or stroke patients, the calibration process itself may
reduce the sensitivity of the eye tracking test. For example,
consider a patient with impaired vertical ocular motility. Because
the calibration process assumes that the eyes cover the full range
of locations mapped out by the calibration points, it assigns the
maximum pupil angle up and down incorrectly to the `top` and
`bottom` of the monitor, respectively. In such instances, all
future measurements for that observer are adjusted to conform to
that incorrect assignment. Thus, impaired ocular motility may be
undetected in tests that begin with a spatial calibration of the
eye tracker.
[0335] Eye movement measurements may reflect severity of damage to
the brain, as well as recovery following clinical intervention. The
methods described herein were used to test patients from
neurosurgery, emergency department and ophthalmology clinics as
well as a control set of healthy volunteers. The success of the
method involves two features. First, the methods described herein
do not use spatial measures of accuracy as a variable of interest.
By looking at eye movement trajectories in the time domain rather
than the spatial domain, it is possible to quantify measures that
do not rely on spatial calibration. Second, the measures are easily
visualized and evaluated, making them immediately useful to the
clinician or researcher.
Methods
[0336] Subjects.
[0337] Healthy observers were recruited in New York University
according to IRB approved protocols as determined by the University
Committee on Activities Involving Human Subjects (UCAIHS). All
participants provided written informed consent, and the consent
forms were approved by UCAIHS. Patients with neurological deficit
were recruited from the neurosurgical practice at Bellevue
Hospital. Written informed consent from the subjects or their legal
proxies were obtained for prospective data collection according to
guidelines established by the NYU IRB.
[0338] Observers.
[0339] Because of the potential for uncalibrated eye-tracking to
serve as an initial screen, the patient population was not
restricted to a specific pathology. Rather, an arbitrary sample of
patients who came through the clinic was recruited. The resulting
sample was representative of the range of disorders seen in the
clinic.
[0340] Eye Movement Tracking.
[0341] Observers' eye movements were recorded using an Eyelink 1000
binocular eye tracker (500 Hz sampling, SR Research). All observers
were seated approximately 55 cm from the screen. Some test patients
were tracked on multiple visits at different stages of diagnosis,
surgery, and recovery.
[0342] Visual Stimulus.
[0343] The visual stimulus provided as a music video that played
continuously while it moved clockwise along the outer edges of a
computer monitor. Observers were instructed to watch the video. The
stimulus was expected to evoke smooth pursuit eye movements as well
as possible saccades and microsaccades as the observers scanned the
video. The video was presented in a square aperture with an area
approximately 1/8 of the size of the screen (about 16.degree. of
visual angle). This square aperture started at the upper left hand
corner of the screen and moved at a constant speed, taking 10
seconds to traverse each edge of the monitor. A full cycle took 40
seconds, and five full cycles were played, for a total of 200
seconds. A countdown video played in the starting position for 10
seconds before the music video began, to give observers time to
orient to the stimulus. Only the 200 seconds of the music video
were used for analyses. The eye tracker sampled eye position at 500
Hz, yielding 100,000 samples of eye position over 200 seconds.
[0344] Axis Orientation.
[0345] The camera and monitor were securely mounted, so that
`horizontal` for the camera was the same as `horizontal` for the
monitor. Therefore, the terms `horizontal` and `vertical` are
defined with respect to the monitor, not with respect to head-tilt.
However, the head was typically aligned with the monitor, and a
chinrest was used with all controls and about half of the patients,
to ensure the continued alignment. The eyetracker converted changes
of pupil angle into two orthogonal components which it labeled x,
and y, and which in turn referred to horizontal and vertical
change, due to the linked orientation of the monitor and camera.
Therefore, we also refer to horizontal and vertical components as x
and y respectively.
[0346] Data Preprocessing.
[0347] There was no spatial calibration so the units of the raw
timecourses were of limited value. Therefore, for each observer,
the timecourses were normalized by subtracting the mean and
dividing by the standard deviation. This was done for each
timecourse independently. The different timecourses were treated as
distinct data sets from the same test patient or neurologically
intact control.
[0348] Timecourses.
[0349] The normalized x- and y-timecourses were plotted across time
(FIGS. 1A and B). The clockwise movement of the visual stimulus
alternated between horizontal changes and vertical changes, and the
x- and y-timecourses in neurologically intact observers show the
same alternation.
[0350] Visualization: Scatterplots.
[0351] For visualization, scatterplots of the entire time series
were created by plotting the 100,000 (x,y) pairs representing the
two orthogonal components of the instantaneous angle of pupil
reflection over 200 seconds. In neurologically intact controls,
these figures look like boxes, reflecting the timing of the visual
stimulus as it moved around the screen.
[0352] Quantitative Data Analysis and Statistics.
[0353] The x- and y-trajectories were fit with sinusoidal
functions. The alternations in horizontal and vertical motion of
the visual stimulus were thought to result in eye movement
trajectories that were approximately sinusoidal with a period of 40
s, but with different phases for x and y. We further hypothesized
that (1) the phase difference between x and y should be 45 degrees
for neurologically intact controls, reflecting the 1/4 cycle
alternation of horizontal and vertical eye movements; and (2) the
model would fit data from the neurologically intact control
observers better than it fit data from the patient group.
[0354] Degree of correlation (r) with a sinusoid was calculated for
1 each time course. The square of this value (r2) is a measure of
goodness of fit of the model to the data. The correlation values
were used because they better suited for statistical analysis.
Throughout the text, `model fit` refers to the correlation values
(r).
[0355] Phase was calculated as phase of the sine function that best
fit the data. The 8 following complementary procedures were used to
assess the statistical significance of any differences in these two
measures (phase difference and model fit) as compared between the
neurologically intact control observers and the test patient
observers.
[0356] (i) Statistical Analysis 1: Hypothesis Testing.
[0357] For each measure, a statistical test was performed to
determine whether the data from the test patient population could
have come from the same underlying distributions as the data from
the neurologically intact control population. For the phase
measure, an unpaired t-test was used. For the sinusoidal fit
measure, the Kruskal-Wallis analysis of variance (ANOVA) was used
which is more appropriate for data that are not normally
distributed.
[0358] (ii) Statistical Analysis 2: Fisher Transformation.
[0359] The correlation (r) values for each timecourse with the best
fitting sinusoid were converted to z-scores using the Fisher
transformation ((1/2)*ln((1+r)/(1-r)). This normalization enables
to complete the third step of the analysis.
[0360] (iii) Statistical Analysis 3: Classification.
[0361] The Fisher z-scores provided an estimate of the probability
of seeing a particular correlation value for a given timecourse if
the underlying population of timecourses had zero mean correlation
(the null hypothesis). The null hypothesis would be expected to be
true for timecourses that were not fit well by sinusoids, e.g.,
timecourses from impaired observers. Timecourses with z-scores
significantly above zero (e.g., well-matched to the stimulus
trajectory) would be expected to come from unimpaired observers. A
threshold of z=2 (corresponding to a significance level of
alpha=0.05) was used to calculate the specificity and sensitivity
of this test, as reported in the Results following.
Results
[0362] Eye movements were highly reliable and consistent across the
group of neurologically intact control observers( ).
Discussion
[0363] Uncalibrated tracking may provide a quantitative measure of
the ability to fixate, attend, and follow a stimulus. These date
demonstrate that it is possible to collect reliable high-frequency
eye movement data without first completing a spatial calibration
for each observer. Many patients are not capable of calibrated eye
tracking. The ability to track eye movements in these populations
provides new insights about a variety of disorders that disturb the
ocular-motor system, including but not limited to brain injury,
stroke, and psychiatric disorders. Possible applications include
clinical screening, diagnosis, monitoring the efficacy of
treatment, and tracking progression of impairment and recovery.
Example 2
Materials and Methods
[0364] Subjects.
[0365] Healthy subjects were recruited in a university setting in
accordance with IRB approved protocols. All other subjects were
recruited directly from our neurosurgical practice. Informed
consent from the subject or their legal proxy was obtained for
prospective data collection in all cases in accordance with IRB
guidelines.
[0366] Eye Movement Tracking.
[0367] The subjects' eye movements were recorded using an Eyelink
1000 binocular eye tracker (500 Hz sampling, SR Research). Healthy
volunteers were seated 55 cm from the screen with their head
stabilized using a chinrest. Stimulus was presented on average 55
cm from patient eyes, with the presentation monitor adjusted to
match gaze direction. Subjects used a chinrest.
[0368] Innovations for Tracking Patients.
[0369] Two innovations were provided to measure ocular motility in
a patient population. The first was a paradigm, consisting of a
stimulus and an analysis stream that allows interpreting raw eye
position data. With few exceptions, eye movement studies analyze
transformed gaze position, which involves a loss of information and
excludes many patients from study. A novel algorithm for looking at
pupil position directly, yielding information about ocular motility
was developed. A device that can be brought to patients was
provided. With few exceptions, eye movement data are collected
using a fixed eye tracker at an unchanging location, which requires
subjects to travel to the tracker and to use the chair and chinrest
setup that goes with it. The SR Research Eyelink 1000 was adapted
into a novel mobile system that allows flexibility in location and
subject position, without sacrificing data quality.
[0370] Visual Stimulus.
[0371] A music video that moved clockwise along the outer edge of a
computer monitor starting at the upper left hand corner of the
screen was provided. Spatial calibration was not performed, and the
distance varied between subjects, so that the size of the stimulus
in degrees may only be approximated. For a healthy subject seated
55 cm from the screen with good spatial calibration, the stimulus
was presented in a square aperture with an area of approximately 16
degrees (approximately 1/8 of the size of the screen). This square
aperture, within which a music video played continuously, moved
across the screen at a constant speed, taking 10 s to cover each
edge of the monitor. A full cycle took 40 s, and five full cycles
were played, for a total of 200 s. A countdown video played in the
starting position for 10 s before the music video began, to provide
all subjects time to orient to the stimulus. The movie continued
for an addition 10 seconds after the 200 s trial, to avoid boundary
effects from contaminating the data. Only the 200 s of the music
video comprising 5 cycles of 40 s each were used in all analyses.
At a rate of 500 Hz, this yielded 100,000 samples of eye position
over 200 seconds.
[0372] Data Analysis: (1) Visualization.
[0373] To create a snapshot of the data from the entire trial that
provided a vivid indication of whether an individual subject's
ocular motility differs from that of healthy controls, scatterplots
of the entire time series were created by plotting the horizontal
eye position along one axis and vertical eye position along the
orthogonal axis. The 100,000 pairs of values (x,y) were plotted
representing the two components of the instantaneous angle of pupil
reflection (horizontal, vertical) over 200 seconds. In healthy
controls, these figures look like boxes, reflecting the trajectory
traveled by the aperture as it moved across the screen. These
visualizations confirmed that the raw eye traces did conform to the
square spatial trajectory of the stimulus, except in cases of
neurological damage.
[0374] Data Analysis: (2) Time Vs. Space.
[0375] Without spatial calibration, exact measurements of error in
the spatial domain are impossible. This problem was avoided by
looking at the eye movement trajectories in the time domain, rather
than the spatial domain. By using a constantly changing stimulus (a
continuously playing movie) with a periodic envelope (the aperture
trajectory), it was possible to look at relative eye movements over
time. Effectively, each subject's mean trajectory over the path of
the aperture served as its own calibration.
[0376] Data Analysis: (3) Statistics.
[0377] In order to quantitatively assess the statistical
significance of our results, the distribution of certain
measurements in the control population was determined, and each
subject was compared with these control distributions for each
measure. The stimulus trajectory was divided into four time
components: The first arm consisted of five repetitions of the
first 10 seconds of each rotation cycle (e.g., seconds 1:10, 41:50,
81:90, 121:130, and 161:170). The second, third and fourth arms
were defined accordingly. Two variables were evaluated: the
relative variance in each arm, and the relative integrity of each
arm. Relative variance was calculated as mean variance across 5
repetitions within an arm divided by variance of the whole time
course. Integrity was calculated as the percent of missing values
in each arm. We defined 2 tests based on these measurements, and
performed the same tests in the controls and the patients. The
results of these tests in the control population were used to
determine the control distributions. The results of these tests for
each patient were compared to the appropriate control distribution,
and confidence intervals were defined as follows.
[0378] Integrity. For the integrity measure, each patient's pair of
values from arms 1 (the top of the box) and 3 (the bottom of the
box) was z-scored using the mean and standard deviation calculated
from the control population. The resulting score indicated how
different the patient values were compared with the control values,
in units of standard deviations. Because 95% of all values in a
normal distribution lie within two standard deviations of the mean,
a z-score of 2 was used as a significance threshold. Patients with
z-scores above 2 in either or both arms were thus judged to have
significant disturbances of ocular motility.
[0379] Relative Variance.
[0380] Because relative variance is a ratio, it cannot be analyzed
using z-scores, since the assumption of a normal distribution does
not hold for ratios. Instead, 5,000 point distributions were
generated using a bootstrapping method that took 5,000 samples from
25 values randomly chosen with replacement from the 45 control
values. For each subject, the relative variance in arms 1 and 3
were compared respectively with the corresponding control
distribution, and the percent of the control distribution with
variance below that of the test value was determined. A p-value of
0.05 (a widely accepted measure of statistical significance)
corresponds to 95% of control values falling below the test value.
Thus, subjects with variance higher than 95% of the values in the
control distributions were determined to have significant
disturbances of ocular motility.
[0381] Units.
[0382] The units of relative variance are related to size in degree
of visual angle, but are not exactly identical to degrees of visual
angle, because there was no spatial calibration. These may be
referred to as time-degrees units.
Results
[0383] Successful Tracking.
[0384] Visualization of the eye movement trajectories across
healthy controls and patients confirmed that the method
successfully measured eye movements without recourse to traditional
calibration techniques.
[0385] Control Distributions.
[0386] As expected, the control distributions for the integrity
measurements were normally distributed with a mean of 0.2 and an
average standard deviation of 0.05 (5% deviation). The control
distributions of relative variance peaked at 0.25 (reflecting equal
variance across the four arms).
[0387] Patient Measurements.
[0388] The integrity measures for the `top` vs. `bottom` arms of
the trajectory for each subject, in units of standard deviation, as
compared with the control distributions as described above were
calculated. Subjects with cranial nerve palsies or mass effect
showed defects in integrity of eye tracing box trajectory. Subjects
with relatively greater cranial nerve II palsies due to either
compression or papilledema showed streaking vertical lines due to
scanning vision.
Example 3
Materials and Methods
[0389] Patient Selection.
[0390] Control subjects were employees, volunteers, visitors and
patients at the Bellevue Hospital Center recruited in accordance
with Institutional Review Board policy. Inclusion criteria for
normal control subjects were: age 7 to 100 years, vision
correctable to within 20/500 bilaterally, intact ocular motility,
and ability to provide a complete ophthalmologic, medical and
neurologic history as well as medications/drugs/alcohol consumed
within the 24 hours prior to tracking. Parents were asked to
corroborate details of the above for children aged 7-17. Exclusion
criteria were history of: strabismus, diplopia, palsy of cranial
nerves III, IV or VI, papilledema, optic neuritis or other known
disorder affecting cranial nerve II, macular edema, retinal
degeneration, dementia or cognitive impairment, hydrocephalus,
sarcoidosis, myasthenia gravis, multiple sclerosis or other
demyelinating disease, and active or acute epilepsy,
stroke/hemorrhage or brain injury sufficiently significant to
result in hospitalization. Subjects reporting any minor brain
injury regardless of loss of consciousness within the previous week
were also excluded.
[0391] Additional subjects were recruited from a neurophthalmic
practice also in accordance with Institutional Review Board policy.
These subjects were selected for participation specifically because
they had known palsies of cranial nerves III, IV and VI
respectively, or other specific ocular pathology.
[0392] Visual Stimulus.
[0393] Each subjects' eye movements were recorded with an Eyelink
1000 eye tracker at a fixed distance of 55 cm from a computer
monitor over a time period of 220 seconds. For the stationary
tracker the subject was seated in an adjustable height chair, using
an adjustable height chinrest. Portable tracker subjects were
seated in either a height adjustable or height-fixed chair, with
the monitor height adjusted to the subject. The portable tracker
chinrest was attached to the monitor, while the stationary tracker
chinrest was attached to the same table as the computer monitor.
The visual stimuli were the music videos Shakira Waka-Waka, K'naan
Wavin' Flag, or the Under the Sea song from the Little Mermaid. The
video was played continuously in a square aperture with an area
approximately 1/8 the screen size while moving clockwise along the
outer edges of the monitor for five complete cycles of 40 seconds
each. The first and last 10 seconds of each data set were discarded
to yield 200 seconds of data. The afferent stimulus was presented
binocularly and eye tracking was performed binocularly. Subjects
were not spatially calibrated to the tracker to enable independent
analysis of each pupil position over time.
[0394] In a separate example, subjects were assessed for gaze
conjugacy using a naturalistic viewing stimulus. This consisted of
watching television as eye movements were tracked over time.
Subjects were not seated at a fixed distance from the monitor but
were able to move their heads during viewing.
[0395] Data Analysis.
[0396] The eye tracker sampled pupil position at 500 Hz, yielding
100,000 samples over 200 seconds. Scatterplots of the entire time
series were created by plotting the 100,000 (x, y) pairs
representing the two orthogonal components of the instantaneous
angle of pupil reflection over time to create `box trajectories`
that reflected the temporal nature of the pupillary movement. These
figures look like boxes, reflecting the timing of the aperture as
it moved around the screen.
[0397] Analysis of Gaze Conjugacy.
[0398] Comparing the movement of one eye of a subject to the other
eye of a subject was performed by comparing the x, y Cartesian
coordinates at any time point t. For example by subtracting the x
coordinate of the left eye from the x coordinate of the right eye
or vice versa. Also by subtracting the y coordinate of the left eye
from the y coordinate of the right eye or vice versa. The sums of
the differences between all of the x coordinates over the time
tested informs regarding horizontal movement of the pupil. The sums
of the differences in y coordinates over time informs regarding
vertical movement of the pupil. The total sum of the differences
between both x and y coordinates over the time tested can be summed
to obtain a measure of total disconjugacy of gaze, or as an average
of five eyebox trajectory cycles formulaically represented as
follows:
X Avg , ik = .SIGMA. j = 1 5 X ijk 5 , for all i = 1 : N , k = 1 :
2 , ##EQU00023##
where X.sub.ijk refers to the x-coordinate of the pupil, and k
refers to the left or right eye of a subject. In cases where a
subject's data was missing at any given time point in the five
cycles, the denominator of the equation was the number of cycles
where the data was present. The difference in the x and y position,
for the left and right eye, may then be computed. This vector of
difference may then be plotted graphically for purposes of
assessment and interpretation. To have a single metric expressing
the level of pupil disconjugation, a variance of the data may be
computed with respect to an expected mean of zero. This is
significant because the code assumes that a healthy subject has
zero vertical or horizontal pupil position difference between each
eye. The variance for either horizontal (x) or vertical (substitute
y for x) movement may be computed as follows:
Var x = 1 N i = 1 N ( ( X avg , i 1 - X avg , i 2 ) - 0 ) 2
##EQU00024##
[0399] The total variance in both the horizontal and vertical
planes may be computed as follows:
Var.sub.Tot=Var.sub.x+Var.sub.y.
[0400] The variance in X, Y, and the total variance may be plotted
in order to assess the amount of disconjugation present in a
subject.
Statistical Analyses
[0401] Statistics were Evaluated Using R.
[0402] Conjugacy of eye movement versus age: Normal subjects
demonstrated conjugate eye movement that was not impacted by age. A
linear regression between total variance and age was calculated. A
linear regression t-test was used to determine whether the slope of
the regression line was statistically significantly different from
0.
[0403] Conjugacy of eye movement compared between genders: A Welch
Two Sample t-test was used to determine if the true difference
between the mean of male total variance and the mean of female
total variance was statistically significantly different from
0.
[0404] X (horizontal eye movement) versus Y (vertical eye movement)
conjugacy: A paired t-test was used to determine if the mean of the
subject-paired differences between the total x-variance and total
y-variance was statistically significantly different from 0.
[0405] Test-retest on the stationary tracker and from the
stationary to the portable tracker: A paired t-test was used to
determine if the mean of the subject-paired differences between the
total variances for two separate eyetracking sessions was
statistically significantly different from 0.
Results
[0406] 125 unique subjects aged 7 to 75 (mean 34.3.+-.15.7, median
28.2; 51.2% female) were surveyed regarding their past medical
history (Table 1), past ophthalmic history (Table 2) and any
medications, alcohol or drugs of abuse (Table 3) taken within the
last 24 hours. The results indicated that many subjects disclosed
prior medical and ophthalmic history and medication usage.
TABLE-US-00001 TABLE 1 Neurologic/Cranial History
Condition/Symptoms Number of Subjects Concussion 9 Migraines 4
Hypertension 3 Hypothyroidism 3 Unspecified Head injury 3 Vertigo 2
Diabetes Melitus 1 Dyslexia 1 Spinal Injury 1 7, 8 Palsy 1 *Note:
Subjects may exist in Multiple Categories
TABLE-US-00002 TABLE 2 Ophthalmic History Condition/Symptoms Number
of Subjects Myopia 26 Astigmatism 9 Hyperopia 6 Cataracts 5
Glaucoma 2 Keratosis 2 Retinal Detachment 2 Adie Syndrome 1
Chalzion 1 Corneal Ulcers 1 Lasik 1 Orbital Myositis 1 Presbyopia 1
Sty 1 Trauma from foreign object 1 Other, unspecified 9 *Note:
Subjects may exist in Multiple Categories
TABLE-US-00003 TABLE 3 Medication/Drug Usage in last 24 hrs Drug
Number of Subjects Multivitamin 11 Synthroid 5 Vitamin D 5 Aspirin
6 Advil 3 Lisinopril 3 Lipitor 3 Simvastatin 3 Adderall 2 Calcium 2
Flovent 2 Hydrocholorthiazide 2 Imuran 2 Insulin (unspecified) 2
Laxapro 2 Metoprolol 2 Norvasc 2 Spironolactone 2 Yaz 2 Albuterol 1
Allegra 1 Vitamin B12 1 Calcitriol 1 chondroitin 1 Citrucel 1
Clopidogrel 1 Colcrys 1 Concerta 1 Cordia 1 Diovan 1 Doxycycline 1
Esomeprazole 1 Ferrous Sulfate 1 Fish Oil 1 Flonase 1 Furosemide 1
Gabapentin 1 Glyburide 1 Hydrocortisone 1 Kombigyze XR 1 Lantus 1
Losartan 1 Lutera 1 Magnesium Oxide 1 Methimazole 1 Motrin 1 Nexium
1 Niquil 1 Nit D 1 Novolog 1 OCP (unspecified) 1 Omezaprole 1
Plavix 1 Prandin 1 Prilosec 1 Singulair 1 Stribild 1 Toprol 1
Trimo-San 1 Welbutrin 1 Xyzal 1 Zyprexa 1 Zyrtec 1 Admit to
Marijuana 1 Admit to Alcohol in past 24 6 *Note: Subjects may exist
in Mualtiple Categories
[0407] Normal subjects demonstrated conjugate eye movement that was
not impacted by age (FIG. 7). A linear regression t-test was used
to determine whether the slope of the relationship between total
variance and age yielded a regression line statistically
significantly different from 0. The test resulted in a t-statistic
of -0.523 and a p-value of 0.6017 showing that the slope of the
regression line was not statistically significantly different from
0. Thus in the subject population ranging in age from 7 to 75,
there was no change in conjugacy of eye movements with age.
[0408] The single greatest outlier (conjugacy of 0.8214) in the
control population was a 23 year old male student who wears
corrective contact lenses and takes adderal for attention deficit
and hyperactivity disorder. This subject underwent repeat tracking
which remained disconjugate, (0.2600) however less than previously.
The second greatest outlier (conjugacy 0.486) was a 39 year old
male hospital employee who denied any ophthalmic or medical
history, as well as the use of alcohol or drugs in the prior 24
hours. In both of these subjects the X-conjugacy was not a
statistical outlier and only the y coordinates were
disconjugate.
[0409] Normal subjects demonstrated conjugate eye movement that was
not impacted by gender (FIG. 8). A Welch Two Sample t-test with
68.49 degrees of freedom resulted in a t-statistic of 0.6734 and a
p-value of 0.5029 showing that the difference in the means was not
statistically significantly different from 0.
[0410] Normal subjects demonstrated horizontal eye movement that
was statistically highly significantly more conjugate than vertical
eye movement (FIG. 9). A paired t-test was used to determine if the
mean of the subject-paired differences between the total x-variance
and total y-variance was statistically significantly different from
0. With 124 degrees of freedom, the test resulted in a t-statistic
of -3.0263 and a p-value of 0.003011 showing that the mean of the
subject-paired differences was statistically highly significantly
different from 0. Specifically, it was shown that for a particular
subject, x-variance is statistically significantly less than
y-variance.
[0411] Subjects (n=27) demonstrated high test-retest reliability
between two separate eyetracking sessions on the stationary tracker
(FIG. 10). A paired t-test was used to determine if the mean of the
subject-paired differences between the total variances for two
separate eyetracking sessions was statistically significantly
different from 0. With 26 degrees of freedom, the test resulted in
a t-statistic of 1.2778 and a p-value of 0.2126 showing that the
mean of the subject-paired differences was not statistically
significantly different from 0.
[0412] Subjects (n=24) demonstrated high test-retest reliability
between separate eyetracking sessions on the stationary tracker and
the portable tracker (FIG. 11). A paired t-test with 23 degrees of
freedom (n=24), resulted in a t-statistic of 1.3661 and a p-value
of 0.1851 showing that the mean of the subject-paired differences
was not statistically significantly different from 0.
[0413] FIG. 1 represents the eye tracking trajectories of subjects
with normal compared to known (well-defined) neurophthalmic
abnormality.
Example 4
Materials and Methods.
[0414] Four groups of subjects were selected as follows:
[0415] (1) subjects who have mild to moderate structural traumatic
brain injury (TBI) as evidenced by CT scan demonstrating the
presence of hemorrhage (subdural, epidural, subarachnoid or
intraparenchymal), brain contusion, or skull fracture.
[0416] (2) nonstructural TBI subjects (mild TBI/concussion),
meaning they show no signs of structural injury on imaging;
however, they complain of usual brain injury symptoms such as
headache, dizziness, cognitive impairment, etc., A subject with
mild traumatic brain injury is a person who has had a traumatically
induced physiological disruption of brain function, as manifested
by at least one of the following: [0417] a. Any period of loss of
consciousness (LOC). [0418] b. Any loss of memory for events
immediately before or after the accident. [0419] c. Any alteration
in mental state at the time of accident (i.e. feeling dazed,
disoriented, or confused). [0420] d. Focal neurological deficit(s)
that may or may not be transient, but where the severity of the
injury does not exceed the following: [0421] 1.) Loss of
consciousness of approximately 30 minutes or less [0422] 2.) After
30 minutes, an initial Glasgow Coma Scale (GCS) of 13-15 [0423] 3.)
Posttraumatic amnesia (PTA) not greater than 24 hours.
[0424] (3) non-brain injured subjects that have suffered some type
of injury such as to the extremities or other parts of the body.
The subjects have sustained a blunt or penetrating trauma such as,
to the corpus or extremities (i.e. car accident, falling, violent
act excluding interpersonal violence).
[0425] (4) Healthy non injured control subjects were employees,
volunteers, visitors and patients with intact ocular motility, and
ability to provide a complete ophthalmologic, medical and
neurologic history as well as medications/drugs/alcohol consumed
within the 24 hours prior to tracking. Exclusion criteria included
any minor brain injury regardless of loss of consciousness within
the previous month.
[0426] Inclusion Criteria.
[0427] All patients were recruited from the Bellevue Hospital
Emergency Services (Emergency Room and Trauma Bay), trauma service
and neurosurgery service. They were between the ages of 18 and 60,
consentable and able/willing to participate and meet criteria for
distribution into one of the three subject populations (structural
TBI, non-structural TBI, injured/non-TBI) described above.
[0428] Exclusion Criteria.
[0429] Subjects that received minor trauma insufficiently
traumatizing to result in sufficient sequelae were excluded.
Subjects suffering burns, anoxic injury or multiple/extensive
injuries resulting in any medical, surgical or hemodynamic
instability were also excluded. Particularly for the purposes of
eye tracking all subjects that were blind (no light perception),
missing eyes, and not opening eyes were excluded from the research.
It is pertinent that subjects are able to detect light and have
both eyes in order for the eye tracking data to be effective and
significant. Any physical or mental injury or baseline disability
rendering task completion difficult was excluded, also inability to
participate in longitudinal care, or obvious intoxication or blood
alcohol level greater than 0.2. Pregnant individuals and prisoners
were also excluded from the study. Subjects with a history of:
strabismus, diplopia, palsy of cranial nerves III, IV or VI,
papilledema, optic neuritis or other known disorder affecting
cranial nerve II, macular edema, retinal degeneration, dementia or
cognitive impairment, hydrocephalus, sarcoidosis, myasthenia
gravis, multiple sclerosis or other demyelinating disease, and
active or acute epilepsy, stroke/hemorrhage or prior brain injury
sufficiently significant to result in hospitalization were also
excluded.
[0430] Subjects underwent eye tracking and SCATS validated
concussion outcome assessment as soon as possible after their
injury, and then at regular intervals during recovery (1 week and 1
month).
Eye Tracking
[0431] A portable binocular eye movement tracker was constructed by
attaching an adjustable arm to a rolling cart. A computer monitor
was attached to the proximal portion of the arm, and a chinrest was
attached to the distal aspect of the arm such that the chinrest
centered the subject's eyes 55 cm away from the monitor.
[0432] Visual Stimulus.
[0433] Subjects' eye movements were recorded with an Eyelink 1000
eye tracker over a time period of 220 seconds. Portable tracker
subjects were seated in either a height adjustable or height-fixed
chair or bed, with the monitor height adjusted to the subject. The
visual stimuli were the music videos Shakira Waka-Waka, K'naan
Wavin' Flag, Mission Kashmir Bhumbroo or Michael Jackson Man in the
Mirror. The video was played continuously in a square aperture with
an area approximately 1/9 the screen area while moving clockwise
along the outer edges of the monitor for five complete cycles of 40
seconds each. The first and last 10 seconds of each data set were
discarded to yield 200 seconds of data. The afferent stimulus was
presented binocularly, and eye tracking was performed binocularly.
Subjects were not spatially calibrated to the tracker to enable
independent analysis of each pupil position over time.
[0434] Data Analysis.
[0435] The eye tracker sampled pupil position at 500 Hz, yielding
100,000 samples over 200 seconds. Scatterplots of the entire time
series were created by plotting the 100,000 (x,y) pairs
representing the two orthogonal components of the instantaneous
angle of pupil reflection over time to create `box trajectories`
that reflected the temporal nature of the pupillary movement. These
figures look like boxes, reflecting the timing of the aperture as
it moved around the screen.
[0436] Metrics:
[0437] 51 eye-tracking parameters were measured per subject,
looking at movement in each individual eye and conjugate movement
between eyes. All data were analyzed using XLSTAT version 2012.6.02
(Addinsoft SARL, Paris, France) and MedCalc version 12.6.1 (MedCalc
Software, Ostend, Belgium). A p-value of .ltoreq.0.05 was deemed as
statistically significant.
[0438] Eye-tracking was performed on 46 patients and 31 controls.
The patients were assigned to 1 of 4 groups (+CT n=13, -CT n=23,
corpus injury n=10, and healthy control). Eye-tracking parameters
were compared among the 4 groups using the Kruskal-Wallis test and
multiple pair-wise were performed using the
Steel-Dwass-Crichlow-Fligner procedure to compare individual groups
against controls.
[0439] The sports concussion assessment tool (SCAT) was
administered, and standardized assessment of concussion (SAC)
scores were obtained on thirty-seven subjects. Stepwise multiple
regression analysis was performed to evaluate the impact of each
eye-tracking parameter on the SCAT and SAC scores. Parameters with
p-values >0.1 were removed from the model.
Results
[0440] Table 4 provides group means for each of the 51 measured
parameters.
TABLE-US-00004 TABLE 4 L. varTotal | +CT 13 0.052 2.242 0.690 0.556
L. varTotal | Control 31 0.024 1.252 0.218 0.259 Conj varX | Corpus
only 10 0.001 0.026 0.009 0.009 Conj varX | -CT 23 0.001 0.476
0.046 0.103 Conj varX | +CT 13 0.001 0.432 0.079 0.119 Conj varX |
Control 31 0.001 0.055 0.010 0.013 Conj varXtop | Corpus only 10
0.001 0.035 0.009 0.010 Conj varXtop | -CT 23 0.001 0.195 0.027
0.049 Conj varXtop | +CT 13 0.002 0.413 0.062 0.122 Conj varXtop |
Control 31 0.001 0.044 0.007 0.008 Conj varXrit | Corpus only 10
0.000 0.023 0.005 0.007 Conj varXrit | -CT 23 0.000 0.132 0.025
0.037 Conj varXrit | +CT 13 0.001 0.364 0.072 0.111 Conj varXrit |
Control 31 0.000 0.093 0.010 0.021 Conj varXbot | Corpus only 10
0.000 0.069 0.011 0.021 Conj varXbot | -CT 23 0.000 0.456 0.036
0.106 Conj varXbot | +CT 12 0.001 0.698 0.100 0.203 Conj varXbot |
Control 31 0.000 0.037 0.004 0.006 Conj varXlef | Corpus only 10
0.000 0.012 0.003 0.004 Conj varXlef | -CT 23 0.000 0.206 0.019
0.046 Conj varXlef | +CT 12 0.001 0.572 0.073 0.160 Conj varXlef |
Control 31 0.000 0.010 0.002 0.002 Conj varY | Corpus only 10 0.002
0.109 0.032 0.043 Conj varY | -CT 23 0.004 0.733 0.085 0.176 Conj
varY | +CT 13 0.002 0.357 0.086 0.121 Conj varY | Control 31 0.001
0.229 0.036 0.056 Conj varYtop | Corpus only 10 0.003 0.796 0.089
0.249 Conj varYtop | -CT 23 0.002 1.129 0.100 0.250 Conj varYtop |
+CT 13 0.002 0.685 0.111 0.212 Conj varYtop | Control 31 0.001
0.491 0.046 0.097 Conj varYrit | Corpus only 10 0.002 0.111 0.028
0.042 Conj varYrit | -CT 23 0.001 0.358 0.050 0.088 Conj varYrit |
+CT 13 0.001 0.246 0.059 0.078 Conj varYrit | Control 31 0.001
0.460 0.032 0.099 Conj varYbot | Corpus only 10 0.000 0.270 0.031
0.084 Conj varYbot | -CT 23 0.000 0.962 0.068 0.203 Conj varYbot |
+CT 12 0.001 0.410 0.059 0.119 Conj varYbot | Control 31 0.000
0.149 0.013 0.028 Conj varYlef | Corpus only 10 0.000 0.037 0.011
0.012 Conj varYlef | -CT 23 0.001 1.396 0.075 0.289 Conj varYlef |
+CT 12 0.002 0.441 0.065 0.126 Conj varYlef | Control 31 0.000
0.036 0.006 0.008 Conj totVar | Corpus only 10 0.003 0.133 0.041
0.049 Conj totVar | -CT 23 0.006 0.885 0.131 0.247 Conj totVar |
+CT 13 0.003 0.789 0.166 0.222 Conj totVar | Control 31 0.003 0.272
0.046 0.065 Conj CorrXY | Corpus only 8 -0.187 0.564 0.082 0.226
Conj CorrXY | -CT 19 -0.711 0.514 -0.009 0.286 Conj CorrXY | +CT 12
-0.252 0.090 -0.023 0.085 Conj CorrXY | Control 30 -0.884 0.621
-0.032 0.321 Conj CorrXYtop | Corpus only 4 -0.330 0.886 0.238
0.536 Conj CorrXYtop | -CT 10 -0.956 0.935 0.105 0.628 Conj
CorrXYtop | +CT 3 -0.228 0.103 -0.053 0.166 Conj CorrXYtop |
Control 23 -0.803 0.820 0.066 0.545 Conj CorrXYrit | Corpus only 4
-0.506 0.686 -0.020 0.505 Conj CorrXYrit | -CT 10 -0.834 0.535
-0.328 0.424 Conj CorrXYrit | +CT 2 0.157 0.338 0.247 0.128 Conj
CorrXYrit | Control 23 -0.982 0.827 -0.288 0.492 Conj CorrXYbot |
Corpus only 4 -0.691 0.429 0.017 0.493 Conj CorrXYbot | -CT 7
-0.907 0.704 -0.166 0.672 Conj CorrXYbot | +CT 3 -0.264 0.621 0.234
0.453 Conj CorrXYbot | Control 24 -0.948 0.957 -0.152 0.627 Conj
CorrXYlef | Corpus only 4 -0.553 0.129 -0.162 0.289 Conj CorrXYlef
| -CT 9 -0.708 0.740 0.098 0.620 Conj CorrXYlef | +CT 3 -0.210
0.613 0.243 0.417 Conj CorrXYlef | Control 24 -0.828 0.942 0.078
0.620 Conj varXtopbotRatio | Corpus only 10 0.132 20.531 4.889
6.923 Conj varXtopbotRatio | -CT 23 0.105 20.328 3.739 4.726 Conj
varXtopbotRatio | +CT 12 0.052 13.072 2.187 3.684 Conj
varXtopbotRatio | Control 31 0.272 23.203 5.694 7.098 Conj
varYtopbotRatio | Corpus only 10 0.036 86.220 14.147 26.741 Conj
varYtopbotRatio | -CT 23 0.072 29.052 4.674 7.287 Conj
varYtopbotRatio | +CT 12 0.258 21 781 3.156 6.004 Conj
varYtopbotRatio | Control 31 0.099 62.984 9.846 15.751 Conj
varXlefritRatio | Corpus only 10 0.033 7.522 1.382 2.198 Conj
varXlefritRatio | -CT 23 0.027 5.017 1.176 1.584 Conj
varXlefritRatio | +CT 12 0.073 6.814 1.991 2.408 Conj
varXlefritRatio | Control 31 0.031 5.415 0.999 1.348 Conj
varYlefritRatio | Corpus only 10 0.138 3.160 0.898 0.909 Conj
varYlefritRatio | -CT 23 0.092 49.468 3.009 10.185 Conj
varYlefritRatio | +CT 12 0.227 7.013 1.716 1.899 Conj
varYlefritRatio | Control 31 0.015 3.351 1.011 1.033 R. varTotal |
+CT 13 0.039 2.894 0.820 0.831 R. varTotal | Control 31 0.028 1.365
0.312 0.371 indicates data missing or illegible when filed
[0441] Table 5 provides p-values. Ten of the 51 measured parameters
demonstrated statistically significant differences between negative
controls (either normal healthy people, or corporally injured but
not brain injured controls) and both positive controls
(structurally brain injured) and non-structurally brain injured
people. 8 additional parameters showed statistically significant
differences between negative controls (healthy normal people and
corporally injured trauma patients) and patients with either
structural or non-structural brain injury. 10 of the eye tracking
measures showed statistically significant correlation between SCAT
or SAC scores, suggesting that these eye tracking parameters
correlated with a validated clinical outcome measure.
[0442] These data demonstrate the usefulness of these mathematical
algorithms to detect and quantitate the extent of structural and
non-structural brain injury.
* * * * *